R-universe search: reports

easystats

report:Automated Reporting of Results and Statistical Models

The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.

Maintained by Rémi Thériault. Last updated 1 months ago.

anovas apa automated-report-generation automatic bayesian describe easystats hacktoberfest manuscript models report reporting reports scientific statsmodels

172.1 match 698 stars 14.48 score 1.1k scripts 3 dependents

dbosak01

reporter:Creates Statistical Reports

Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.

Maintained by David Bosak. Last updated 12 months ago.

report reporting reports rptr

123.8 match 16 stars 9.35 score 173 scripts 4 dependents

parklab

Nozzle.R1:Nozzle Reports

The Nozzle package provides an API to generate HTML reports with dynamic user interface elements based on JavaScript and CSS (Cascading Style Sheets). Nozzle was designed to facilitate summarization and rapid browsing of complex results in data analysis pipelines where multiple analyses are performed frequently on big data sets. The package can be applied to any project where user-friendly reports need to be created.

Maintained by Nils Gehlenborg. Last updated 10 years ago.

gehlenborglab html-report reproducible-research

156.2 match 68 stars 5.31 score 10 scripts 2 dependents

insightsengineering

teal.reporter:Reporting Tools for 'shiny' Modules

Prebuilt 'shiny' modules containing tools for the generation of 'rmarkdown' reports, supporting reproducible research and analysis.

Maintained by Dawid Kaledkowski. Last updated 2 months ago.

nest reporting shiny

88.2 match 8 stars 9.34 score 19 scripts 6 dependents

r-lib

testthat:Unit Testing for R

Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.

Maintained by Hadley Wickham. Last updated 15 days ago.

unit-testing cpp

36.7 match 900 stars 20.97 score 74k scripts 465 dependents

choonghyunryu

dlookr:Tools for Data Diagnosis, Exploration, Transformation

A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values, outliers, and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and the relationship between the target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputes missing values and outliers, and resolves skewness. And it creates automated reports that support these three tasks.

Maintained by Choonghyun Ryu. Last updated 9 months ago.

67.4 match 212 stars 11.05 score 748 scripts 2 dependents

stevenmmortimer

salesforcer:An Implementation of 'Salesforce' APIs Using Tidy Principles

Functions connecting to the 'Salesforce' Platform APIs (REST, SOAP, Bulk 1.0, Bulk 2.0, Metadata, Reports and Dashboards) <https://trailhead.salesforce.com/content/learn/modules/api_basics/api_basics_overview>. "API" is an acronym for "application programming interface". Most all calls from these APIs are supported as they use CSV, XML or JSON data that can be parsed into R data structures. For more details please see the 'Salesforce' API documentation and this package's website <https://stevenmmortimer.github.io/salesforcer/> for more information, documentation, and examples.

Maintained by Steven M. Mortimer. Last updated 4 months ago.

api-wrappers r-language r-programming salesforce salesforce-apis

67.3 match 82 stars 9.27 score 191 scripts

josesamos

starschemar:Obtaining Stars from Flat Tables

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a star schema. Transformations can be carried out using professional extract, transform and load tools or tools intended for data transformation for end users. With the tools mentioned, this transformation can be carried out, but it requires a lot of work. The main objective of this package is to define transformations that allow obtaining stars from flat tables easily. In addition, it includes basic data cleaning, dimension enrichment, incremental data refresh and query operations, adapted to this context.

Maintained by Jose Samos. Last updated 11 months ago.

102.3 match 7 stars 5.66 score 11 scripts 2 dependents

civisanalytics

civis:R Client for the 'Civis Platform API'

A convenient interface for making requests directly to the 'Civis Platform API' <https://www.civisanalytics.com/platform/>. Full documentation available 'here' <https://civisanalytics.github.io/civis-r/>.

Maintained by Peter Cooman. Last updated 2 months ago.

60.9 match 16 stars 7.84 score 144 scripts

pik-piam

remind2:The REMIND R package (2nd generation)

Contains the REMIND-specific routines for data and model output manipulation.

Maintained by Renato Rodrigues. Last updated 6 days ago.

53.4 match 8.88 score 161 scripts 5 dependents

vimc

orderly:Lightweight Reproducible Reporting

Order, create and store reports from R. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.

Maintained by Rich FitzJohn. Last updated 2 years ago.

47.3 match 117 stars 9.63 score 94 scripts 4 dependents

epiforecasts

epinowcast:Flexible Hierarchical Nowcasting

Tools to enable flexible and efficient hierarchical nowcasting of right-truncated epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes. Nowcasting, in this context, is gaining situational awareness using currently available observations and the reporting patterns of historical observations. This can be useful when tracking the spread of infectious disease in real-time: without nowcasting, changes in trends can be obfuscated by partial reporting or their detection may be delayed due to the use of simpler methods like truncation. While the package has been designed with epidemiological applications in mind, it could be applied to any set of right-truncated time-series count data.

Maintained by Sam Abbott. Last updated 11 months ago.

cmdstanr effective-reproduction-number-estimation epidemiology infectious-disease-surveillance nowcasting outbreak-analysis pandemic-preparedness real-time-infectious-disease-modelling stan

50.6 match 61 stars 7.88 score 65 scripts

epinowcast

epinowcast:Flexible Hierarchical Nowcasting

Tools to enable flexible and efficient hierarchical nowcasting of right-truncated epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes. Nowcasting, in this context, is gaining situational awareness using currently available observations and the reporting patterns of historical observations. This can be useful when tracking the spread of infectious disease in real-time: without nowcasting, changes in trends can be obfuscated by partial reporting or their detection may be delayed due to the use of simpler methods like truncation. While the package has been designed with epidemiological applications in mind, it could be applied to any set of right-truncated time-series count data.

Maintained by Sam Abbott. Last updated 11 months ago.

cmdstanr effective-reproduction-number-estimation epidemiology infectious-disease-surveillance nowcasting outbreak-analysis pandemic-preparedness real-time-infectious-disease-modelling stan

50.6 match 61 stars 7.79 score 71 scripts

cran

queueing:Analysis of Queueing Networks and Models

It provides versatile tools for analysis of birth and death based Markovian Queueing Models and Single and Multiclass Product-Form Queueing Networks. It implements M/M/1, M/M/c, M/M/Infinite, M/M/1/K, M/M/c/K, M/M/c/c, M/M/1/K/K, M/M/c/K/K, M/M/c/K/m, M/M/Infinite/K/K, Multiple Channel Open Jackson Networks, Multiple Channel Closed Jackson Networks, Single Channel Multiple Class Open Networks, Single Channel Multiple Class Closed Networks and Single Channel Multiple Class Mixed Networks. Also it provides a B-Erlang, C-Erlang and Engset calculators. This work is dedicated to the memory of D. Sixto Rios Insua.

Maintained by Pedro Canadilla. Last updated 5 years ago.

153.1 match 2.58 score 376 scripts

cbielow

PTXQC:Quality Report Generation for MaxQuant and mzTab Results

Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (from .txt files) or mzTab files (ideally from OpenMS 'QualityControl' tool). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.

Maintained by Chris Bielow. Last updated 1 years ago.

drag-and-drop hacktoberfest heatmap match-between-runs maxquant metric mztab openms proteomics quality-control quality-metrics report

39.4 match 42 stars 9.35 score 105 scripts 1 dependents

wadpac

GGIR:Raw Accelerometer Data Analysis

A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.

Maintained by Vincent T van Hees. Last updated 1 days ago.

accelerometer activity-recognition circadian-rhythm movement-sensor sleep

27.2 match 109 stars 13.20 score 342 scripts 3 dependents

openanalytics

clinDataReview:Clinical Data Review Tool

Creation of interactive tables, listings and figures ('TLFs') and associated report for exploratory analysis of data in a clinical trial, e.g. for clinical oversight activities. Interactive figures include sunburst, treemap, scatterplot, line plot and barplot of counts data. Interactive tables include table of summary statistics (as counts of adverse events, enrollment table) and listings. Possibility to compare data (summary table or listing) across two data batches/sets. A clinical data review report is created via study-specific configuration files and template 'R Markdown' reports contained in the package.

Maintained by Laure Cougnaud. Last updated 9 months ago.

50.2 match 11 stars 7.10 score 36 scripts

green-striped-gecko

dartR.base:Analysing 'SNP' and 'Silicodart' Data - Basic Functions

Facilitates the import and analysis of 'SNP' (single nucleotide 'polymorphism') and 'silicodart' (presence/absence) data. The main focus is on data generated by 'DarT' (Diversity Arrays Technology), however, data from other sequencing platforms can be used once 'SNP' or related fragment presence/absence data from any source is imported. Genetic datasets are stored in a derived 'genlight' format (package 'adegenet'), that allows for a very compact storage of data and metadata. Functions are available for importing and exporting of 'SNP' and 'silicodart' data, for reporting on and filtering on various criteria (e.g. 'callrate', 'heterozygosity', 'reproducibility', maximum allele frequency). Additional functions are available for visualization (e.g. Principle Coordinate Analysis) and creating a spatial representation using maps. 'dartR.base' is the 'base' package of the 'dartRverse' suits of packages. To install the other packages, we recommend to install the 'dartRverse' package, that supports the installation of all packages in the 'dartRverse'. If you want to cite 'dartR', you find the information by typing citation('dartR.base') in the console.

Maintained by Bernd Gruber. Last updated 12 days ago.

92.5 match 3.84 score 17 scripts 5 dependents

mikewlcheung

metaSEM:Meta-Analysis using Structural Equation Modeling

A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' and 'lavaan' packages. It also implements various procedures to perform meta-analytic structural equation modeling on the correlation and covariance matrices, see Cheung (2015) <doi:10.3389/fpsyg.2014.01521>.

Maintained by Mike Cheung. Last updated 9 days ago.

meta-analysis meta-analytic-sem missing-data multilevel-models multivariate-analysis structural-equation-modeling structural-equation-models

37.2 match 30 stars 9.43 score 208 scripts 1 dependents

pik-piam

limes:The liMES R package

Contains the LIMES-specific routines for data and model output manipulation.

Maintained by Sebastian Osorio. Last updated 8 days ago.

73.9 match 1 stars 4.60 score 5 scripts

john-harrold

ubiquity:PKPD, PBPK, and Systems Pharmacology Modeling Tools

Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint' and 'Word'.

Maintained by John Harrold. Last updated 16 days ago.

modeling pkpd

40.1 match 13 stars 7.14 score 33 scripts

bioc

singleCellTK:Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data

The Single Cell Toolkit (SCTK) in the singleCellTK package provides an interface to popular tools for importing, quality control, analysis, and visualization of single cell RNA-seq data. SCTK allows users to seamlessly integrate tools from various packages at different stages of the analysis workflow. A general "a la carte" workflow gives users the ability access to multiple methods for data importing, calculation of general QC metrics, doublet detection, ambient RNA estimation and removal, filtering, normalization, batch correction or integration, dimensionality reduction, 2-D embedding, clustering, marker detection, differential expression, cell type labeling, pathway analysis, and data exporting. Curated workflows can be used to run Seurat and Celda. Streamlined quality control can be performed on the command line using the SCTK-QC pipeline. Users can analyze their data using commands in the R console or by using an interactive Shiny Graphical User Interface (GUI). Specific analyses or entire workflows can be summarized and shared with comprehensive HTML reports generated by Rmarkdown. Additional documentation and vignettes can be found at camplab.net/sctk.

Maintained by Joshua David Campbell. Last updated 23 days ago.

singlecell geneexpression differentialexpression alignment clustering immunooncology batcheffect normalization qualitycontrol dataimport gui

27.9 match 181 stars 10.16 score 252 scripts

r-lib

covr:Test Coverage for Packages

Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or 'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.

Maintained by Jim Hester. Last updated 1 months ago.

codecov coverage coverage-report travis-ci

16.7 match 337 stars 15.25 score 2.3k scripts 9 dependents

kwb-r

aquanes.report:Automated Reporting Tool for Water Suppliers

Collects, aggregates and visualises operational and analytical data from water suppliers (including a standardised reporting document).

Maintained by Michael Rustler. Last updated 6 years ago.

automated-reporting data-aggregation data-export data-import data-visualisation pilot-plant project-aquanes shiny-app

62.2 match 4.01 score 23 scripts

bioc

systemPipeR:systemPipeR: Workflow Environment for Data Analysis and Report Generation

systemPipeR is a multipurpose data analysis workflow environment that unifies R with command-line tools. It enables scientists to analyze many types of large- or small-scale data on local or distributed computer systems with a high level of reproducibility, scalability and portability. At its core is a command-line interface (CLI) that adopts the Common Workflow Language (CWL). This design allows users to choose for each analysis step the optimal R or command-line software. It supports both end-to-end and partial execution of workflows with built-in restart functionalities. Efficient management of complex analysis tasks is accomplished by a flexible workflow control container class. Handling of large numbers of input samples and experimental designs is facilitated by consistent sample annotation mechanisms. As a multi-purpose workflow toolkit, systemPipeR enables users to run existing workflows, customize them or design entirely new ones while taking advantage of widely adopted data structures within the Bioconductor ecosystem. Another important core functionality is the generation of reproducible scientific analysis and technical reports. For result interpretation, systemPipeR offers a wide range of plotting functionality, while an associated Shiny App offers many useful functionalities for interactive result exploration. The vignettes linked from this page include (1) a general introduction, (2) a description of technical details, and (3) a collection of workflow templates.

Maintained by Thomas Girke. Last updated 5 months ago.

genetics infrastructure dataimport sequencing rnaseq riboseq chipseq methylseq snp geneexpression coverage genesetenrichment alignment qualitycontrol immunooncology reportwriting workflowstep workflowmanagement

19.8 match 53 stars 11.56 score 344 scripts 3 dependents

rolkra

explore:Simplifies Exploratory Data Analysis

Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.

Maintained by Roland Krasser. Last updated 3 months ago.

data-exploration data-visualisation decision-trees eda rmarkdown shiny tidy

19.9 match 228 stars 11.43 score 221 scripts 1 dependents

josesamos

rolap:Obtaining Star Databases from Flat Tables

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a ROLAP (Relational On-Line Analytical Processing) star database. The main objective of the package is to allow the definition of these transformations easily. The implementation of the multidimensional database obtained can be exported to work with multidimensional analysis tools on spreadsheets or relational databases.

Maintained by Jose Samos. Last updated 1 years ago.

openjdk

36.1 match 5 stars 6.12 score 25 scripts 1 dependents

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

24.1 match 7 stars 9.11 score 1.3k scripts 6 dependents

bioc

DEGreport:Report of DEG analysis

Creation of ready-to-share figures of differential expression analyses of count data. It integrates some of the code mentioned in DESeq2 and edgeR vignettes, and report a ranked list of genes according to the fold changes mean and variability for each selected gene.

Maintained by Lorena Pantano. Last updated 5 months ago.

differentialexpression visualization rnaseq reportwriting geneexpression immunooncology bioconductor differential-expression qc report rna-seq smallrna

22.9 match 24 stars 9.42 score 354 scripts 1 dependents

ddsjoberg

gtsummary:Presentation-Ready Data Summary and Analytic Result Tables

Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.

Maintained by Daniel D. Sjoberg. Last updated 1 days ago.

easy-to-use gt html5 regression-models reproducibility reproducible-research statistics summary-statistics summary-tables table1 tableone

12.5 match 1.1k stars 17.00 score 8.2k scripts 15 dependents

epiforecasts

EpiNow2:Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters

Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.

Maintained by Sebastian Funk. Last updated 24 days ago.

backcalculation covid-19 gaussian-processes open-source reproduction-number stan cpp

17.1 match 120 stars 11.88 score 210 scripts

tbep-tech

tbeptools:Data and Indicators for the Tampa Bay Estuary Program

Several functions are provided for working with Tampa Bay Estuary Program data and indicators, including the water quality report card, tidal creek assessments, Tampa Bay Nekton Index, Tampa Bay Benthic Index, seagrass transect data, habitat report card, and fecal indicator bacteria. Additional functions are provided for miscellaneous tasks, such as reference library curation.

Maintained by Marcus Beck. Last updated 8 days ago.

data-analysis tampa-bay tbep water-quality

25.8 match 10 stars 7.86 score 133 scripts

pheymanss

chronicle:Grammar for Creating R Markdown Reports

A system for creating R Markdown reports with a sequential syntax.

Maintained by Philippe Heymans Smith. Last updated 1 years ago.

36.1 match 29 stars 5.54 score 24 scripts

bioc

amplican:Automated analysis of CRISPR experiments

`amplican` performs alignment of the amplicon reads, normalizes gathered data, calculates multiple statistics (e.g. cut rates, frameshifts) and presents results in form of aggregated reports. Data and statistics can be broken down by experiments, barcodes, user defined groups, guides and amplicons allowing for quick identification of potential problems.

Maintained by Eivind Valen. Last updated 5 months ago.

immunooncology technology alignment qpcr crispr cpp

25.2 match 10 stars 7.54 score 41 scripts

pik-piam

reporttransport:Reporting package for edgeTransport

This package contains edgeTransport-specific routines to report model results. The main functionality is to generate transport reporting variables in MIF format from a given edgeTransport model run folder or REMIND input data.

Maintained by Johanna Hoppe. Last updated 2 months ago.

40.8 match 4.60 score 9 scripts 3 dependents

bethatkinson

rpart:Recursive Partitioning and Regression Trees

Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Maintained by Beth Atkinson. Last updated 8 months ago.

cart classification statistics

10.8 match 52 stars 16.59 score 18k scripts 1.6k dependents

john-harrold

onbrand:Templated Reporting Workflows in Word and PowerPoint

Automated reporting in Word and PowerPoint can require customization for each organizational template. This package works around this by adding standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.

Maintained by John Harrold. Last updated 1 months ago.

21.5 match 24 stars 8.11 score 45 scripts 4 dependents

rmi-pacta

pacta.portfolio.report:pacta.portfolio.report

For more information visit <https://rmi.org/>.

Maintained by Monika Furdyna. Last updated 2 months ago.

climate-change sustainable-finance

42.3 match 1 stars 4.10 score 2 scripts 1 dependents

gadenbuie

epoxy:String Interpolation for Documents, Reports and Apps

Extra strength 'glue' for data-driven templates. String interpolation for 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built on the 'glue' and 'whisker' packages.

Maintained by Garrick Aden-Buie. Last updated 11 months ago.

glue knitr knitr-engine quarto rmarkdown rmd shiny template

19.8 match 218 stars 8.43 score 312 scripts

bikeactuary

repoRter.nih:R Interface to the 'NIH RePORTER Project' API

Methods to easily build requests in the non-standard JSON schema required by the National Institute of Health (NIH)'s 'RePORTER Project API' <https://api.reporter.nih.gov/#/Search/post_v2_projects_search>. Also retrieve and process result sets as either a ragged or flattened 'tibble'.

Maintained by "Michael Barr, ACAS, MAAA, CPCU". Last updated 6 months ago.

45.0 match 6 stars 3.68 score 16 scripts

mayoverse

arsenal:An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.

Maintained by Ethan Heinzen. Last updated 7 months ago.

baseline-characteristics descriptive-statistics modeling paired-comparisons reporting statistics tableone

12.3 match 225 stars 13.45 score 1.2k scripts 16 dependents

lindbrook

cholera:Amend, Augment and Aid Analysis of John Snow's Cholera Map

Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.

Maintained by lindbrook. Last updated 6 hours ago.

cholera data-visualization datasets epidemiology john-snow public-health triangulation-delaunay voronoi voronoi-polygons

17.5 match 136 stars 9.33 score 95 scripts

dcomtois

summarytools:Tools to Quickly and Neatly Summarize Data

Data frame summaries, cross-tabulations, weight-enabled frequency tables and common descriptive (univariate) statistics in concise tables available in a variety of formats (plain ASCII, Markdown and HTML). A good point-of-entry for exploring data, both for experienced and new R users.

Maintained by Dominic Comtois. Last updated 11 hours ago.

descriptive-statistics frequency-table html-report markdown pander pandoc pandoc-markdown rmarkdown rstudio

11.3 match 526 stars 14.52 score 2.9k scripts 6 dependents

yihui

knitr:A General-Purpose Package for Dynamic Report Generation in R

Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.

Maintained by Yihui Xie. Last updated 1 days ago.

dynamic-documents knitr literate-programming rmarkdown sweave

6.8 match 2.4k stars 23.62 score 116k scripts 4.2k dependents

alisonlanski

IPEDSuploadables:Transforms Institutional Data into Text Files for IPEDS Automated Import/Upload

Starting from user-supplied institutional data, these scripts transform, aggregate, and reshape the information to produce key-value pair data files that are able to be uploaded to IPEDS (Integrated Postsecondary Education Data System) through their submission portal <https://surveys.nces.ed.gov/ipeds/>. Starting data specifications can be found in the vignettes. Final files are saved locally to a location of the user's choice. User-friendly readable files can also be produced for purposes of data review and validation.

Maintained by Alison Lanski. Last updated 3 months ago.

22.7 match 8 stars 7.05 score 39 scripts

bioc

EpiCompare:Comparison, Benchmarking & QC of Epigenomic Datasets

EpiCompare is used to compare and analyse epigenetic datasets for quality control and benchmarking purposes. The package outputs an HTML report consisting of three sections: (1. General metrics) Metrics on peaks (percentage of blacklisted and non-standard peaks, and peak widths) and fragments (duplication rate) of samples, (2. Peak overlap) Percentage and statistical significance of overlapping and non-overlapping peaks. Also includes upset plot and (3. Functional annotation) functional annotation (ChromHMM, ChIPseeker and enrichment analysis) of peaks. Also includes peak enrichment around TSS.

Maintained by Hiranyamaya Dash. Last updated 29 days ago.

epigenetics genetics qualitycontrol chipseq multiplecomparison functionalgenomics atacseq dnaseseq benchmark benchmarking bioconductor bioconductor-package comparison html interactive-reporting

20.5 match 14 stars 7.54 score 46 scripts

nwaller

fungible:Psychometric Functions from the Waller Lab

Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.

Maintained by Niels Waller. Last updated 1 years ago.

30.6 match 5.01 score 136 scripts 8 dependents

microsoft

wpa:Tools for Analysing and Visualising Viva Insights Data

Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.

Maintained by Martin Chan. Last updated 4 months ago.

workplace-analytics

22.5 match 30 stars 6.69 score 39 scripts 1 dependents

prcwiek

pmetar:Processing METAR Weather Reports

Allows to download current and historical METAR weather reports extract and parse basic parameters and present main weather information. Current reports are downloaded from Aviation Weather Center <https://aviationweather.gov/data/metar/> and historical reports from Iowa Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.

Maintained by Pawel Cwiek. Last updated 14 days ago.

airports aviation-weather historical-metar-reports metar metar-decoder

29.3 match 9 stars 5.13 score 6 scripts

rstudio

pointblank:Data Validation and Organization of Metadata for Local and Remote Tables

Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.

Maintained by Richard Iannone. Last updated 9 days ago.

data-assertions data-checker data-dictionaries data-frames data-inference data-management data-profiler data-quality data-validation data-verification database-tables easy-to-understand reporting-tool schema-validation testing-tools yaml-configuration

13.7 match 932 stars 10.59 score 284 scripts

isubirana

compareGroups:Descriptive Analysis by Groups

Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.

Maintained by Isaac Subirana. Last updated 18 days ago.

comparegroups descriptive-statistics plot report table

16.7 match 35 stars 8.51 score 396 scripts 1 dependents

leifeld

texreg:Conversion of R Regression Output to LaTeX or HTML Tables

Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. Details can be found in Leifeld (2013), JStatSoft <doi:10.18637/jss.v055.i08>.)

Maintained by Philip Leifeld. Last updated 2 months ago.

html-tables latex latex-tables regression reporting table texreg

10.0 match 113 stars 14.09 score 1.8k scripts 67 dependents

wa-department-of-agriculture

soils:Visualize and Report Soil Health Data

Collection of soil health data visualization and reporting tools, including a RStudio project template with everything you need to generate custom HTML and Microsoft Word reports for each participant in your soil health sampling project.

Maintained by Jadey N Ryan. Last updated 1 months ago.

24.6 match 11 stars 5.74 score 9 scripts

appsilon

data.validator:Automatic Data Validation and Reporting

Validate dataset by columns and rows using convenient predicates inspired by 'assertr' package. Generate good looking HTML report or print console output to display in logs of your data processing pipeline.

Maintained by Marcin Dubel. Last updated 11 months ago.

data reporting rhinoverse rstudio validation

21.1 match 147 stars 6.67 score 40 scripts

ropensci

EDIutils:An API Client for the Environmental Data Initiative Repository

A client for the Environmental Data Initiative repository REST API. The 'EDI' data repository <https://portal.edirepository.org/nis/home.jsp> is for publication and reuse of ecological data with emphasis on metadata accuracy and completeness. It is built upon the 'PASTA+' software stack <https://pastaplus-core.readthedocs.io/en/latest/index.html#> and was developed in collaboration with the US 'LTER' Network <https://lternet.edu/>. 'EDIutils' includes functions to search and access existing data, evaluate and upload new data, and assist other data management tasks common to repository users.

Maintained by Colin Smith. Last updated 1 years ago.

ecology eml-metadata open-access open-data research-data-management research-data-repository

21.1 match 10 stars 6.47 score 117 scripts

insightsengineering

teal:Exploratory Web Apps for Analyzing Clinical Trials Data

A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.

Maintained by Dawid Kaledkowski. Last updated 20 days ago.

clinical-trials nest shiny webapp

10.7 match 197 stars 12.68 score 176 scripts 5 dependents

david-hervas

repmod:Create Report Table from Different Objects

Tools for generating descriptives and report tables for different models, data.frames and tables and exporting them to different formats.

Maintained by David Hervas Marin. Last updated 2 months ago.

51.9 match 2.60 score 6 scripts

nmfs-ost

asar:Build NOAA Stock Assessment Report

Build a full or update stock assessment report for any stock assessment model. Parameterization allows the user to call a template based on their regional science center, species, area, ect.

Maintained by Samantha Schiano. Last updated 6 days ago.

latex quarto stock-assessment-reports

19.3 match 21 stars 6.87 score 3 scripts

danchaltiel

crosstable:Crosstables for Descriptive Analyses

Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.

Maintained by Dan Chaltiel. Last updated 2 months ago.

descriptive-statistics flextable frequency-table html-report msword officer

12.7 match 116 stars 10.37 score 340 scripts

ixpantia

googleErrorReportingR:Send Error Reports to the Google Error Reporting Service API

Send error reports to the Google Error Reporting service <https://cloud.google.com/error-reporting/> and view errors and assign error status in the Google Error Reporting user interface.

Maintained by Frans van Dunné. Last updated 5 months ago.

gcp gcp-error-reporting googlecloudplatform hacktoberfest

24.0 match 6 stars 5.38 score 8 scripts

insightsengineering

chevron:Standard TLGs for Clinical Trials Reporting

Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.

Maintained by Joe Zhu. Last updated 23 days ago.

clinical-trials graphs listings nest reporting tables

15.5 match 12 stars 8.24 score 12 scripts

uptake

pkgnet:Get Network Representation of an R Package

Tools from the domain of graph theory can be used to quantify the complexity and vulnerability to failure of a software package. That is the guiding philosophy of this package. 'pkgnet' provides tools to analyze the dependencies between functions in an R package and between its imported packages. See the pkgnet website for vignettes and other supplementary information.

Maintained by Brian Burns. Last updated 10 months ago.

code-quality dependency-analysis dependency-graph graph-theory

15.7 match 160 stars 7.91 score 86 scripts

bioc

ReportingTools:Tools for making reports in various formats

The ReportingTools software package enables users to easily display reports of analysis results generated from sources such as microarray and sequencing data. The package allows users to create HTML pages that may be viewed on a web browser such as Safari, or in other formats readable by programs such as Excel. Users can generate tables with sortable and filterable columns, make and display plots, and link table entries to other data sources such as NCBI or larger plots within the HTML page. Using the package, users can also produce a table of contents page to link various reports together for a particular project that can be viewed in a web browser. For more examples, please visit our site: http:// research-pub.gene.com/ReportingTools.

Maintained by Jason A. Hackney. Last updated 5 months ago.

immunooncology software visualization microarray rnaseq go datarepresentation genesetenrichment

19.7 match 6.23 score 93 scripts 1 dependents

henrikbengtsson

R.rsp:Dynamic Generation of Scientific Reports

The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.

Maintained by Henrik Bengtsson. Last updated 1 years ago.

document markup report reproducibility science

15.1 match 31 stars 8.04 score 36 scripts 9 dependents

aestebanmar

htmlreportR:'HTML' Reporting Made Simple(R)

Create compressed, interactive 'HTML' (Hypertext Markup Language) reports with embedded 'Python' code, custom 'JS' ('JavaScript') and 'CSS' (Cascading Style Sheets), and wrappers for 'CanvasXpress' plots, networks and more. Based on <https://pypi.org/project/py-report-html/>, its sister project.

Maintained by Álvaro Esteban Martos. Last updated 2 months ago.

css html js reporting-tool

25.9 match 4.56 score 3 scripts

bioc

BiocPkgTools:Collection of simple tools for learning about Bioconductor Packages

Bioconductor has a rich ecosystem of metadata around packages, usage, and build status. This package is a simple collection of functions to access that metadata from R. The goal is to expose metadata for data mining and value-added functionality such as package searching, text mining, and analytics on packages.

Maintained by Sean Davis. Last updated 11 days ago.

software infrastructure bioconductor metadata

15.2 match 21 stars 7.67 score 68 scripts

bioc

regionReport:Generate HTML or PDF reports for a set of genomic regions or DESeq2/edgeR results

Generate HTML or PDF reports to explore a set of regions such as the results from annotation-agnostic expression analysis of RNA-seq data at base-pair resolution performed by derfinder. You can also create reports for DESeq2 or edgeR results.

Maintained by Leonardo Collado-Torres. Last updated 2 months ago.

differentialexpression sequencing rnaseq software visualization transcription coverage reportwriting differentialmethylation differentialpeakcalling immunooncology qualitycontrol bioconductor derfinder deseq2 edger regionreport rmarkdown

16.0 match 9 stars 7.22 score 46 scripts

pik-piam

magclass:Data Class and Tools for Handling Spatial-Temporal Data

Data class for increased interoperability working with spatial-temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).

Maintained by Jan Philipp Dietrich. Last updated 9 days ago.

10.1 match 5 stars 11.16 score 412 scripts 56 dependents

hofnerb

papeR:A Toolbox for Writing Pretty Papers and Reports

A toolbox for writing 'knitr', 'Sweave' or other 'LaTeX'- or 'markdown'-based reports and to prettify the output of various estimated models.

Maintained by Benjamin Hofner. Last updated 4 years ago.

knitr latex r-language reporting reproducible reproducible-research sweave

15.3 match 30 stars 7.30 score 223 scripts 1 dependents

mrc-ide

orderly2:Orderly Next Generation

Distributed reproducible computing framework, adopting ideas from git, docker and other software. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.

Maintained by Rich FitzJohn. Last updated 2 months ago.

13.4 match 8 stars 8.30 score 49 scripts 2 dependents

wviechtb

metafor:Meta-Analysis Package for R

A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. An introduction to the package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.

Maintained by Wolfgang Viechtbauer. Last updated 16 hours ago.

meta-analysis mixed-effects multilevel-models multivariate

6.7 match 246 stars 16.30 score 4.9k scripts 92 dependents

ggpmxdevelopment

ggPMX:'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models

At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>. When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required Chart Data instead of exporting it from the 'Monolix' gui.

Maintained by Matthew Fidler. Last updated 1 years ago.

pharmacometrics pmx reporting

15.1 match 39 stars 7.23 score 80 scripts

r-lib

here:A Simpler Way to Find Your Files

Constructs paths to your project's files. Declare the relative path of a file within your project with 'i_am()'. Use the 'here()' function as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root.

Maintained by Kirill Müller. Last updated 3 months ago.

project

5.5 match 417 stars 19.54 score 96k scripts 600 dependents

mini-pw

SerolyzeR:Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.

Maintained by Tymoteusz Kwiecinski. Last updated 16 days ago.

16.1 match 4 stars 6.68 score

bioc

sevenbridges:Seven Bridges Platform API Client and Common Workflow Language Tool Builder in R

R client and utilities for Seven Bridges platform API, from Cancer Genomics Cloud to other Seven Bridges supported platforms.

Maintained by Phil Webster. Last updated 5 months ago.

software dataimport thirdpartyclient api-client bioconductor bioinformatics cloud common-workflow-language sevenbridges

14.3 match 35 stars 7.40 score 24 scripts

mini-pw

PvSTATEM:Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - 'PvSTATEM', which is an international project aiming for malaria elimination.

Maintained by Tymoteusz Kwiecinski. Last updated 17 days ago.

16.1 match 3 stars 6.56 score 7 scripts

vandomed

tab:Create Summary Tables for Statistical Reports

Contains functions for creating various types of summary tables, e.g. comparing characteristics across levels of a categorical variable and summarizing fitted generalized linear models, generalized estimating equations, and Cox proportional hazards models. Functions are available to handle data from simple random samples as well as complex surveys.

Maintained by Dane R. Van Domelen. Last updated 4 years ago.

manuscripts reports reproducible-research statistics tables

14.8 match 2 stars 6.97 score 86 scripts 9 dependents

amutak

cosinor2:Extended Tools for Cosinor Analysis of Rhythms

Statistical procedures for calculating population–mean cosinor, non–stationary cosinor, estimation of best–fitting period, tests of population rhythm differences and more. See Cornélissen, G. (2014). <doi:10.1186/1742-4682-11-16>.

Maintained by Augustin Mutak. Last updated 6 years ago.

18.3 match 5 stars 5.63 score 19 scripts 5 dependents

jranke

mkin:Kinetic Evaluation of Chemical Degradation Data

Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Non-constant errors can be taken into account using variance by variable or two-component error models <doi:10.3390/environments6120124>. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end <doi:10.3390/environments8080071>. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.

Maintained by Johannes Ranke. Last updated 30 days ago.

degradation focus-kinetics kinetic-models kinetics ode ode-model

12.8 match 11 stars 8.06 score 78 scripts 1 dependents

dreamrs

shinybusy:Busy Indicators and Notifications for 'Shiny' Applications

Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the server is busy. And other tools to let your users know something is happening (send notifications, reports, ...).

Maintained by Victor Perrier. Last updated 6 months ago.

shiny

8.6 match 142 stars 11.70 score 772 scripts 39 dependents

openpharma

simaerep:Find Clinical Trial Sites Under-Reporting Adverse Events

Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 <doi:10.1007/s40264-020-01011-5>).

Maintained by Bjoern Koneswarakantha. Last updated 2 months ago.

ae-reporting clinical-trials

19.2 match 22 stars 5.22 score 25 scripts

framverse

framrsquared:FRAM Database Interface

A convenient tool for interfacing with FRAM access databases in R environments.

Maintained by Ty Garber. Last updated 2 months ago.

19.7 match 6 stars 5.06 score 9 scripts

bioc

RnBeads:RnBeads

RnBeads facilitates comprehensive analysis of various types of DNA methylation data at the genome scale.

Maintained by Fabian Mueller. Last updated 1 months ago.

dnamethylation methylationarray methylseq epigenetics qualitycontrol preprocessing batcheffect differentialmethylation sequencing cpgisland immunooncology twochannel dataimport

14.3 match 6.85 score 169 scripts 1 dependents

davidgohel

flextable:Functions for Tabular Reporting

Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.

Maintained by David Gohel. Last updated 1 months ago.

docx html5 ms-office-documents rmarkdown table

5.7 match 583 stars 17.04 score 7.3k scripts 119 dependents

opendendro

dplR:Dendrochronology Program Library in R

Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.

Maintained by Andy Bunn. Last updated 18 days ago.

fortran

8.3 match 39 stars 11.71 score 546 scripts 26 dependents

fusarolimichele

pvda:Disproportionality Functions for Pharmacovigilance

Tools for performing disproportionality analysis using the information component, proportional reporting rate and the reporting odds ratio. The anticipated use is passing data to the da() function, which executes the disproportionality analysis. See Norén et al (2011) <doi:10.1177/0962280211403604> and Montastruc et al (2011) <doi:10.1111/j.1365-2125.2011.04037.x> for further details.

Maintained by Michele Fusaroli. Last updated 2 months ago.

18.4 match 7 stars 5.24 score 5 scripts

john-harrold

ruminate:A Pharmacometrics Data Transformation and Analysis Tool

Exploration of pharmacometrics data involves both general tools (transformation and plotting) and specific techniques (non-compartmental analysis). This kind of exploration is generally accomplished by utilizing different packages. The purpose of 'ruminate' is to create a 'shiny' interface to make these tools more broadly available while creating reproducible results.

Maintained by John Harrold. Last updated 6 days ago.

13.3 match 2 stars 7.06 score 84 scripts

tbates

umx:Structural Equation Modeling and Twin Modeling in R

Quickly create, run, and report structural equation models, and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.

Maintained by Timothy C. Bates. Last updated 23 hours ago.

behavior-genetics genetics openmx psychology sem statistics structural-equation-modeling tutorials twin-models umx

9.8 match 44 stars 9.45 score 472 scripts

nlmixr2

nlmixr2rpt:Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting Results

This allows you to generate reporting workflows around 'nlmixr2' analyses with outputs in Word and PowerPoint. You can specify figures, tables and report structure in a user-definable 'YAML' file. Also you can use the internal functions to access the figures and tables to allow their including in other outputs (e.g. R Markdown).

Maintained by John Harrold. Last updated 6 months ago.

19.1 match 2 stars 4.75 score 14 scripts

bioc

Biobase:Biobase: Base functions for Bioconductor

Functions that are needed by many other packages or which replace R functions.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

infrastructure bioconductor-package core-package

5.5 match 9 stars 16.45 score 6.6k scripts 1.8k dependents

bioc

isobar:Analysis and quantitation of isobarically tagged MSMS proteomics data

isobar provides methods for preprocessing, normalization, and report generation for the analysis of quantitative mass spectrometry proteomics data labeled with isobaric tags, such as iTRAQ and TMT. Features modules for integrating and validating PTM-centric datasets (isobar-PTM). More information on http://www.ms-isobar.org.

Maintained by Florian P Breitwieser. Last updated 5 months ago.

immunooncology proteomics massspectrometry bioinformatics multiplecomparisons qualitycontrol

13.0 match 10 stars 6.96 score 19 scripts

laresbernardo

lares:Analytics & Machine Learning Sidekick

Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.

Maintained by Bernardo Lares. Last updated 23 days ago.

analytics api automation automl data-science descriptive-statistics h2o machine-learning marketing mmm predictive-modeling puzzle rlanguage robyn visualization

9.1 match 233 stars 9.84 score 185 scripts 1 dependents

bioc

PathoStat:PathoStat Statistical Microbiome Analysis Package

The purpose of this package is to perform Statistical Microbiome Analysis on metagenomics results from sequencing data samples. In particular, it supports analyses on the PathoScope generated report files. PathoStat provides various functionalities including Relative Abundance charts, Diversity estimates and plots, tests of Differential Abundance, Time Series visualization, and Core OTU analysis.

Maintained by Solaiappan Manimaran. Last updated 5 months ago.

microbiome metagenomics graphandnetwork microarray patternlogic principalcomponent sequencing software visualization rnaseq immunooncology

15.1 match 8 stars 5.90 score 8 scripts

bioc

ShortRead:FASTQ input and manipulation

This package implements sampling, iteration, and input of FASTQ files. The package includes functions for filtering and trimming reads, and for generating a quality assessment report. Data are represented as DNAStringSet-derived objects, and easily manipulated for a diversity of purposes. The package also contains legacy support for early single-end, ungapped alignment formats.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

dataimport sequencing qualitycontrol bioconductor-package core-package zlib cpp

7.4 match 8 stars 12.08 score 1.8k scripts 49 dependents

psychbruce

bruceR:Broadly Useful Convenient and Efficient R Functions

Broadly useful convenient and efficient R functions that bring users concise and elegant R data analyses. This package includes easy-to-use functions for (1) basic R programming (e.g., set working directory to the path of currently opened file; import/export data from/to files in any format; print tables to Microsoft Word); (2) multivariate computation (e.g., compute scale sums/means/... with reverse scoring); (3) reliability analyses and factor analyses; (4) descriptive statistics and correlation analyses; (5) t-test, multi-factor analysis of variance (ANOVA), simple-effect analysis, and post-hoc multiple comparison; (6) tidy report of statistical models (to R Console and Microsoft Word); (7) mediation and moderation analyses (PROCESS); and (8) additional toolbox for statistics and graphics.

Maintained by Han-Wu-Shuang Bao. Last updated 9 months ago.

anova data-analysis data-science linear-models linear-regression multilevel-models statistics toolbox

11.3 match 176 stars 7.87 score 316 scripts 3 dependents

sndmrc

BasketballAnalyzeR:Analysis and Visualization of Basketball Data

Contains data and code to accompany the book P. Zuccolotto and M. Manisera (2020) Basketball Data Science. Applications with R. CRC Press. ISBN 9781138600799.

Maintained by Marco Sandri. Last updated 2 years ago.

basketball-stats data-analysis data-science

18.0 match 35 stars 4.83 score 39 scripts

atlas-aai

ratlas:ATLAS Formatting Functions and Templates

Provides templates, formatting tools, and 'ggplot2' themes tailored for the Accessible Teaching, Learning, and Assessment Systems (ATLAS) organization. These templates facilitate the creation of topic guides and technical reports, while the formatting functions enable users to customize numbers and tables to meet specific requirements. Additionally, the themes ensure a uniform visual style across graphics.

Maintained by W. Jake Thompson. Last updated 4 months ago.

bookdown ggplot2 ggplot2-themes rmarkdown rmarkdown-template

11.7 match 29 stars 7.28 score 20 scripts

kosukeimai

MatchIt:Nonparametric Preprocessing for Parametric Causal Inference

Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)

Maintained by Noah Greifer. Last updated 1 days ago.

cpp openmp

5.7 match 220 stars 15.03 score 2.4k scripts 21 dependents

blue-matter

MSEtool:Management Strategy Evaluation Toolkit

Development, simulation testing, and implementation of management procedures for fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).

Maintained by Adrian Hordyk. Last updated 25 days ago.

cpp

11.0 match 8 stars 7.69 score 163 scripts 3 dependents

gpaux

Mediana:Clinical Trial Simulations

Provides a general framework for clinical trial simulations based on the Clinical Scenario Evaluation (CSE) approach. The package supports a broad class of data models (including clinical trials with continuous, binary, survival-type and count-type endpoints as well as multivariate outcomes that are based on combinations of different endpoints), analysis strategies and commonly used evaluation criteria.

Maintained by Gautier Paux. Last updated 4 years ago.

biostatistics clinical-trial-simulations clinical-trials simulations

13.0 match 28 stars 6.52 score 39 scripts

sem-in-r

seminr:Building and Estimating Structural Equation Models

A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).

Maintained by Nicholas Patrick Danks. Last updated 3 years ago.

common-factors composites construct pls-models

11.1 match 62 stars 7.46 score 284 scripts

datawookie

clockify:A Wrapper for the 'Clockify' API

A wrapper for the Clockify API <https://docs.clockify.me/>, making it possible to query, insert and update time keeping data.

Maintained by Andrew B. Collier. Last updated 10 months ago.

hacktoberfest

20.9 match 2 stars 3.95 score 6 scripts

bioc

abseqR:Reporting and data analysis functionalities for Rep-Seq datasets of antibody libraries

AbSeq is a comprehensive bioinformatic pipeline for the analysis of sequencing datasets generated from antibody libraries and abseqR is one of its packages. abseqR empowers the users of abseqPy (https://github.com/malhamdoosh/abseqPy) with plotting and reporting capabilities and allows them to generate interactive HTML reports for the convenience of viewing and sharing with other researchers. Additionally, abseqR extends abseqPy to compare multiple repertoire analyses and perform further downstream analysis on its output.

Maintained by JiaHong Fong. Last updated 5 months ago.

sequencing visualization reportwriting qualitycontrol multiplecomparison

20.4 match 4.00 score 3 scripts

vubiostat

redcapAPI:Interface to 'REDCap'

Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.

Maintained by Shawn Garbett. Last updated 8 days ago.

7.6 match 22 stars 10.47 score 134 scripts 2 dependents

canmod

macpan2:Fast and Flexible Compartmental Modelling

Fast and flexible compartmental modelling with Template Model Builder.

Maintained by Steve Walker. Last updated 1 days ago.

compartmental-models epidemiology forecasting mixed-effects model-fitting optimization simulation simulation-modeling cpp

9.0 match 4 stars 8.89 score 246 scripts 1 dependents

inbo

INBOmd:Markdown Templates for INBO

Several templates to generate reports, presentations and posters.

Maintained by Thierry Onkelinx. Last updated 1 years ago.

bookdown rmarkdown xelatex

17.4 match 12 stars 4.52 score 11 scripts

yihui

litedown:A Lightweight Version of R Markdown

Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.

Maintained by Yihui Xie. Last updated 2 days ago.

litedown markdown r-markdown report-generator reproducible-research

7.5 match 197 stars 10.44 score 16 scripts 3 dependents

rstudio

shiny:Web Application Framework for R

Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.

Maintained by Winston Chang. Last updated 12 days ago.

reactive rstudio shiny web-app web-development

3.7 match 5.4k stars 21.28 score 108k scripts 1.8k dependents

bioc

maftools:Summarize, Analyze and Visualize MAF Files

Analyze and visualize Mutation Annotation Format (MAF) files from large scale sequencing studies. This package provides various functions to perform most commonly used analyses in cancer genomics and to create feature rich customizable visualzations with minimal effort.

Maintained by Anand Mayakonda. Last updated 5 months ago.

datarepresentation dnaseq visualization drivermutation variantannotation featureextraction classification somaticmutation sequencing functionalgenomics survival bioinformatics cancer-genome-atlas cancer-genomics genomics maf-files tcga curl bzip2 xz-utils zlib

5.3 match 459 stars 14.63 score 948 scripts 18 dependents

pik-piam

reportbrick:Reporting package for BRICK

This package contains BRICK-specific routines to report model results. The main functionality is to generate a mif-file from a given BRICK model run folder.

Maintained by Robin Hasse. Last updated 19 days ago.

21.7 match 3.52 score 2 dependents

bioc

microbiomeExplorer:Microbiome Exploration App

The MicrobiomeExplorer R package is designed to facilitate the analysis and visualization of marker-gene survey feature data. It allows a user to perform and visualize typical microbiome analytical workflows either through the command line or an interactive Shiny application included with the package. In addition to applying common analytical workflows the application enables automated analysis report generation.

Maintained by Janina Reeder. Last updated 5 months ago.

classification clustering geneticvariability differentialexpression microbiome metagenomics normalization visualization multiplecomparison sequencing software immunooncology

18.9 match 4.00 score 8 scripts

epiverse-trace

cfr:Estimate Disease Severity and Case Ascertainment

Estimate the severity of a disease and ascertainment of cases, as discussed in Nishiura et al. (2009) <doi:10.1371/journal.pone.0006852>.

Maintained by Adam Kucharski. Last updated 16 days ago.

case-fatality-rate epidemic-modelling epidemiology epiverse health-outcomes outbreak-analysis sdg-3

9.3 match 13 stars 8.15 score 35 scripts

modeloriented

DALEX:moDel Agnostic Language for Exploration and eXplanation

Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) <https://jmlr.org/papers/v19/18-416.html>.

Maintained by Przemyslaw Biecek. Last updated 1 months ago.

black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai

5.6 match 1.4k stars 13.40 score 876 scripts 21 dependents

themains

virustotal:R Client for the VirusTotal API

Use VirusTotal, a Google service that analyzes files and URLs for viruses, worms, trojans etc., provides category of the content hosted by a domain from a variety of prominent services, provides passive DNS information, among other things. See <http://www.virustotal.com> for more information.

Maintained by Gaurav Sood. Last updated 2 years ago.

cybersecurity scan-files trojans virustotal

13.2 match 11 stars 5.47 score 18 scripts 1 dependents

bioc

HIBAG:HLA Genotype Imputation with Attribute Bagging

Imputes HLA classical alleles using GWAS SNP data, and it relies on a training set of HLA and SNP genotypes. HIBAG can be used by researchers with published parameter estimates instead of requiring access to large training sample datasets. It combines the concepts of attribute bagging, an ensemble classifier method, with haplotype inference for SNPs and HLA types. Attribute bagging is a technique which improves the accuracy and stability of classifier ensembles using bootstrap aggregating and random variable selection.

Maintained by Xiuwen Zheng. Last updated 4 months ago.

genetics statisticalmethod bioinformatics gpu hla imputation mhc snp cpp

8.8 match 30 stars 8.24 score 48 scripts

asa12138

ReporterScore:Generalized Reporter Score-Based Enrichment Analysis for Omics Data

Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore', along with comprehensive visualization methods and pathway databases. 'GRSA' is a threshold-free method that works well with all types of biomedical features, such as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports multi-group and longitudinal experimental designs, because of the included multi-group-compatible statistical methods.

Maintained by Chen Peng. Last updated 2 months ago.

10.6 match 67 stars 6.79 score 13 scripts

iame-researchcenter

PFIM:Population Fisher Information Matrix

Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.

Maintained by Romain Leroux. Last updated 5 months ago.

25.6 match 2.78 score 9 scripts

bioc

MANOR:CGH Micro-Array NORmalization

Importation, normalization, visualization, and quality control functions to correct identified sources of variability in array-CGH experiments.

Maintained by Pierre Neuvial. Last updated 3 days ago.

microarray twochannel dataimport qualitycontrol preprocessing copynumbervariation normalization

14.3 match 4.98 score 1 scripts

bioc

alevinQC:Generate QC Reports For Alevin Output

Generate QC reports summarizing the output from an alevin, alevin-fry, or simpleaf run. Reports can be generated as html or pdf files, or as shiny applications.

Maintained by Charlotte Soneson. Last updated 3 months ago.

qualitycontrol singlecell cpp

10.3 match 31 stars 6.89 score 21 scripts

biometris

statgenGxE:Genotype by Environment (GxE) Analysis

Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).

Maintained by Bart-Jan van Rossum. Last updated 6 months ago.

genetics gxe gxe-modelling multi-trial-analysis

12.8 match 10 stars 5.53 score 17 scripts

rstudio

renv:Project Environments

A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.

Maintained by Kevin Ushey. Last updated 2 days ago.

3.8 match 1.0k stars 18.55 score 1.5k scripts 113 dependents

rcppcore

RcppArmadillo:'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library

'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.

Maintained by Dirk Eddelbuettel. Last updated 5 days ago.

armadillo c-plus-plus rcpp rcpparmadillo openblas cpp openmp

3.8 match 197 stars 18.77 score 1.9k scripts 3.4k dependents

reconverse

reportfactory:Lightweight Infrastructure for Handling Multiple R Markdown Documents

Provides an infrastructure for handling multiple R Markdown reports, including automated curation and time-stamping of outputs, parameterisation and provision of helper functions to manage dependencies.

Maintained by Thibaut Jombart. Last updated 2 years ago.

infrastructure knitr rmarkdown rmarkdown-document

11.7 match 84 stars 5.99 score 47 scripts

8-bit-sheep

googleAnalyticsR:Google Analytics API into R

Interact with the Google Analytics APIs <https://developers.google.com/analytics/>, including the Core Reporting API (v3 and v4), Management API, User Activity API GA4's Data API and Admin API and Multi-Channel Funnel API.

Maintained by Erik Grönroos. Last updated 6 months ago.

analytics api google googleanalyticsr googleauthr

6.8 match 262 stars 10.11 score 680 scripts 1 dependents

xiaolei-lab

rMVP:Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool

A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can (1) effectively process large data, (2) rapidly evaluate population structure, (3) efficiently estimate variance components several algorithms, (4) implement parallel-accelerated association tests of markers three methods, (5) globally efficient design on GWAS process computing, (6) enhance visualization of related information. 'rMVP' contains three models GLM (Alkes Price (2006) <DOI:10.1038/ng1847>), MLM (Jianming Yu (2006) <DOI:10.1038/ng1702>) and FarmCPU (Xiaolei Liu (2016) <doi:10.1371/journal.pgen.1005767>); variance components estimation methods EMMAX (Hyunmin Kang (2008) <DOI:10.1534/genetics.107.080101>;), FaSTLMM (method: Christoph Lippert (2011) <DOI:10.1038/nmeth.1681>, R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) <DOI:10.1371/journal.pone.0107684> and 'SUPER': Qishan Wang and Feng Tian (2014) <DOI:10.1371/journal.pone.0107684>), and HE regression (Xiang Zhou (2017) <DOI:10.1214/17-AOAS1052>).

Maintained by Xiaolei Liu. Last updated 2 months ago.

openblas cpp openmp

8.5 match 287 stars 8.06 score 38 scripts

ropensci

daiquiri:Data Quality Reporting for Temporal Datasets

Generate reports that enable quick visual review of temporal shifts in record-level data. Time series plots showing aggregated values are automatically created for each data field (column) depending on its contents (e.g. min/max/mean values for numeric data, no. of distinct values for categorical data), as well as overviews for missing values, non-conformant values, and duplicated rows. The resulting reports are shareable and can contribute to forming a transparent record of the entire analysis process. It is designed with Electronic Health Records in mind, but can be used for any type of record-level temporal data (i.e. tabular data where each row represents a single "event", one column contains the "event date", and other columns contain any associated values for the event).

Maintained by T. Phuong Quan. Last updated 7 months ago.

data-quality initial-data-analysis reproducible-research temporal-data time-series

11.5 match 36 stars 5.94 score 12 scripts

lwheinsberg

dbGaPCheckup:dbGaP Checkup

Contains functions that check for formatting of the Subject Phenotype data set and data dictionary as specified by the National Center for Biotechnology Information (NCBI) Database of Genotypes and Phenotypes (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.

Maintained by Lacey W. Heinsberg. Last updated 1 years ago.

13.9 match 4 stars 4.86 score 18 scripts

rstudio

rstudioapi:Safely Access the RStudio API

Access the RStudio API (if available) and provide informative error messages when it's not.

Maintained by Kevin Ushey. Last updated 4 months ago.

3.6 match 172 stars 18.81 score 3.6k scripts 2.1k dependents

robertgambrel

medicare:Tools for Obtaining and Cleaning Medicare Public Use Files

Publicly available data from Medicare frequently requires extensive initial effort to extract desired variables and merge them; this package formalizes the techniques I've found work best. More information on the Medicare program, as well as guidance for the publicly available data this package targets, can be found on CMS's website covering publicly available data. See <https://www.cms.gov/Research-Statistics-Data-and-Systems/Research-Statistics-Data-and-Systems.html>.

Maintained by Robert Gambrel. Last updated 8 years ago.

18.5 match 7 stars 3.62 score 12 scripts

nifu-no

saros.base:Base Tools for Semi-Automatic Reporting of Ordinary Surveys

Scaffold an entire web-based report using template chunks, based on a small chapter overview and a dataset. Highly adaptable with prefixes, suffixes, translations, etc. Also contains tools for password-protecting, e.g. for each organization's report on a website. Developed for the common case of a survey across multiple organizations/sites where each organization wants to obtain results for their organization compared with everyone else. See 'saros' (<https://CRAN.R-project.org/package=saros>) for tools used for authors in the drafted reports.

Maintained by Stephan Daus. Last updated 1 months ago.

11.1 match 1 stars 5.98 score 7 scripts

sdctools

sdcMicro:Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.

Maintained by Matthias Templ. Last updated 26 days ago.

cpp

6.7 match 83 stars 9.89 score 258 scripts

r-forge

RNetLogo:Provides an Interface to the Agent-Based Modelling Platform 'NetLogo'

Interface to use and access Wilensky's 'NetLogo' (Wilensky 1999) from R using either headless (no GUI) or interactive GUI mode. Provides functions to load models, execute commands, and get values from reporters. Mostly analogous to the 'NetLogo' 'Mathematica' Link <https://github.com/NetLogo/Mathematica-Link>.

Maintained by Jan C. Thiele. Last updated 8 years ago.

openjdk

11.7 match 5.62 score 140 scripts 1 dependents

john-harrold

formods:'Shiny' Modules for General Tasks

'Shiny' apps can often make use of the same key elements, this package provides modules for common tasks (data upload, wrangling data, figure generation and saving the app state), and also a framework for developing. These modules can react and interact as well as generate code to create reproducible analyses.

Maintained by John Harrold. Last updated 6 days ago.

8.3 match 8 stars 7.94 score 100 scripts 1 dependents

openanalytics

patientProfilesVis:Visualization of Patient Profiles

Creation of patient profile visualizations for exploration, diagnostic or monitoring purposes during a clinical trial. These static visualizations display a patient-specific overview of the evolution during the trial time frame of parameters of interest (as laboratory, ECG, vital signs), presence of adverse events, exposure to a treatment; associated with metadata patient information, as demography, concomitant medication. The visualizations can be tailored for specific domain(s) or endpoint(s) of interest. Visualizations are exported into patient profile report(s) or can be embedded in custom report(s).

Maintained by Laure Cougnaud. Last updated 9 months ago.

12.7 match 7 stars 5.15 score 9 scripts

thiyangt

denguedatahub:A Tidy Format Datasets of Dengue by Country

Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.

Maintained by Thiyanga S. Talagala. Last updated 1 months ago.

openjdk

12.8 match 11 stars 5.12 score 34 scripts

bioc

scp:Mass Spectrometry-Based Single-Cell Proteomics Data Analysis

Utility functions for manipulating, processing, and analyzing mass spectrometry-based single-cell proteomics data. The package is an extension to the 'QFeatures' package and relies on 'SingleCellExpirement' to enable single-cell proteomics analyses. The package offers the user the functionality to process quantitative table (as generated by MaxQuant, Proteome Discoverer, and more) into data tables ready for downstream analysis and data visualization.

Maintained by Christophe Vanderaa. Last updated 16 days ago.

geneexpression proteomics singlecell massspectrometry preprocessing cellbasedassays bioconductor mass-spectrometry single-cell software

7.3 match 25 stars 8.94 score 115 scripts

tidyverts

fabletools:Core Tools for Packages in the 'fable' Framework

Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.

Maintained by Mitchell OHara-Wild. Last updated 1 months ago.

5.3 match 91 stars 12.18 score 396 scripts 18 dependents

josesamos

geomultistar:Multidimensional Queries Enriched with Geographic Data

Multidimensional systems allow complex queries to be carried out in an easy way. The geographical dimension, together with the temporal dimension, plays a fundamental role in multidimensional systems. Through this package, vector geographic data layers can be associated to the attributes of geographic dimensions, so that the results of multidimensional queries can be obtained directly as vector layers. The multidimensional structures on which we can define the queries can be created from a flat table or imported directly using functions from this package.

Maintained by Jose Samos. Last updated 8 months ago.

14.4 match 2 stars 4.48 score 8 scripts 1 dependents

boxuancui

DataExplorer:Automate Data Exploration and Treatment

Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.

Maintained by Boxuan Cui. Last updated 1 years ago.

data-analysis data-exploration data-science eda visualization

5.8 match 519 stars 11.16 score 2.2k scripts

bioc

arrayQualityMetrics:Quality metrics report for microarray data sets

This package generates microarray quality metrics reports for data in Bioconductor microarray data containers (ExpressionSet, NChannelSet, AffyBatch). One and two color array platforms are supported.

Maintained by Mike Smith. Last updated 5 months ago.

microarray qualitycontrol onechannel twochannel reportwriting

10.7 match 1 stars 5.98 score 193 scripts

schochastics

networkdata:Repository of Network Datasets

The package contains a large collection of network dataset with different context. This includes social networks, animal networks and movie networks. All datasets are in 'igraph' format.

Maintained by David Schoch. Last updated 12 months ago.

dataset network-analysis

12.8 match 143 stars 5.01 score 143 scripts

eu-ecdc

EpiSignalDetection:Signal Detection Analysis

Exploring time series for signal detection. It is specifically designed to detect possible outbreaks using infectious disease surveillance data at the European Union / European Economic Area or country level. Automatic detection tools used are presented in the paper "Monitoring count time series in R: aberration detection in public health surveillance", by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. The package includes: - Signal Detection tool, an interactive 'shiny' application in which the user can import external data and perform basic signal detection analyses; - An automated report in HTML format, presenting the results of the time series analysis in tables and graphs. This report can also be stratified by population characteristics (see 'Population' variable). This project was funded by the European Centre for Disease Prevention and Control.

Maintained by Joana Gomes Dias. Last updated 6 years ago.

11.7 match 16 stars 5.43 score 17 scripts

r-lib

lintr:A 'Linter' for R Code

Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.

Maintained by Michael Chirico. Last updated 8 days ago.

linter

3.8 match 1.2k stars 17.00 score 916 scripts 33 dependents

r-lib

usethis:Automate Package and Project Setup

Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.

Maintained by Jennifer Bryan. Last updated 11 days ago.

github setup

3.6 match 869 stars 17.54 score 5.6k scripts 336 dependents

revelle

psychTools:Tools to Accompany the 'psych' Package for Psychological Research

Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as four vignettes. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r/> web page.

Maintained by William Revelle. Last updated 12 months ago.

10.8 match 5.89 score 178 scripts 5 dependents

aravind-j

augmentedRCBD:Analysis of Augmented Randomised Complete Block Designs

Functions for analysis of data generated from experiments in augmented randomised complete block design according to Federer, W.T. (1961) <doi:10.2307/2527837>. Computes analysis of variance, adjusted means, descriptive statistics, genetic variability statistics etc. Further includes data visualization and report generation functions.

Maintained by J. Aravind. Last updated 5 months ago.

augmented-block augmented-design augmented-rcbd

10.6 match 7 stars 5.94 score 21 scripts

colearendt

xlsx:Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files

Provide R functions to read/write/format Excel 2007 and Excel 97/2000/XP/2003 file formats.

Maintained by Cole Arendt. Last updated 3 years ago.

excel java rjava xlsx openjdk

4.4 match 85 stars 14.40 score 14k scripts 35 dependents

bioc

ORFik:Open Reading Frames in Genomics

R package for analysis of transcript and translation features through manipulation of sequence data and NGS data like Ribo-Seq, RNA-Seq, TCP-Seq and CAGE. It is generalized in the sense that any transcript region can be analysed, as the name hints to it was made with investigation of ribosomal patterns over Open Reading Frames (ORFs) as it's primary use case. ORFik is extremely fast through use of C++, data.table and GenomicRanges. Package allows to reassign starts of the transcripts with the use of CAGE-Seq data, automatic shifting of RiboSeq reads, finding of Open Reading Frames for whole genomes and much more.

Maintained by Haakon Tjeldnes. Last updated 27 days ago.

immunooncology software sequencing riboseq rnaseq functionalgenomics coverage alignment dataimport cpp

5.9 match 33 stars 10.63 score 115 scripts 2 dependents

bradleyjeck

epanet2toolkit:Call 'EPANET' Functions to Simulate Pipe Networks

Enables simulation of water piping networks using 'EPANET'. The package provides functions from the 'EPANET' programmer's toolkit as R functions so that basic or customized simulations can be carried out from R. The package uses 'EPANET' version 2.2 from Open Water Analytics <https://github.com/OpenWaterAnalytics/EPANET/releases/tag/v2.2>.

Maintained by Bradley Eck. Last updated 3 months ago.

epanet epanet-api simulation water water-distribution-networks

12.1 match 15 stars 5.17 score 66 scripts

amices

mice:Multivariate Imputation by Chained Equations

Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.

Maintained by Stef van Buuren. Last updated 6 days ago.

chained-equations fcs imputation mice missing-data missing-values multiple-imputation multivariate-data cpp

3.8 match 462 stars 16.50 score 10k scripts 154 dependents

maelstrom-research

madshapR:Support Technical Processes Following 'Maelstrom Research' Standards

Functions to support rigorous processes in data cleaning, evaluation, and documentation across datasets from different studies based on Maelstrom Research guidelines. The package includes the core functions to evaluate and format the main inputs that define the process, diagnose errors, and summarize and evaluate datasets and their associated data dictionaries. The main outputs are clean datasets and associated metadata, and tabular and visual summary reports. As described in Maelstrom Research guidelines for rigorous retrospective data harmonization (Fortier I and al. (2017) <doi:10.1093/ije/dyw075>).

Maintained by Guillaume Fabre. Last updated 11 months ago.

11.4 match 2 stars 5.40 score 28 scripts 3 dependents

ijaljuli

metarep:Replicability-Analysis Tools for Meta-Analysis

User-friendly package for reporting replicability-analysis methods, affixed to meta-analyses summary. The replicability-analysis output provides an assessment of the investigated intervention, where it offers quantification of effect replicability and assessment of the consistency of findings. - Replicability-analysis for fixed-effects and random-effect meta analysis: - r(u)-value; - lower bounds on the number of studies with replicated positive and\or negative effect; - Allows detecting inconsistency of signals; - forest plots with the summary of replicability analysis results; - Allows Replicability-analysis with or without the common-effect assumption.

Maintained by Iman Jaljuli. Last updated 1 years ago.

14.0 match 5 stars 4.40 score 4 scripts

loremerdrignac

EpiReport:Epidemiological Report

Drafting an epidemiological report in 'Microsoft Word' format for a given disease, similar to the Annual Epidemiological Reports published by the European Centre for Disease Prevention and Control. Through standalone functions, it is specifically designed to generate each disease specific output presented in these reports and includes: - Table with the distribution of cases by Member State over the last five years; - Seasonality plot with the distribution of cases at the European Union / European Economic Area level, by month, over the past five years; - Trend plot with the trend and number of cases at the European Union / European Economic Area level, by month, over the past five years; - Age and gender bar graph with the distribution of cases at the European Union / European Economic Area level. Two types of datasets can be used: - The default dataset of dengue 2015-2019 data; - Any dataset specified as described in the vignette.

Maintained by Lore Merdrignac. Last updated 4 years ago.

18.5 match 3.32 score 14 scripts

hdvinod

generalCorr:Generalized Correlations, Causal Paths and Portfolio Selection

Function gmcmtx0() computes a more reliable (general) correlation matrix. Since causal paths from data are important for all sciences, the package provides many sophisticated functions. causeSummBlk() and causeSum2Blk() give easy-to-interpret causal paths. Let Z denote control variables and compare two flipped kernel regressions: X=f(Y, Z)+e1 and Y=g(X, Z)+e2. Our criterion Cr1 says that if |e1*Y|>|e2*X| then variation in X is more "exogenous or independent" than in Y, and the causal path is X to Y. Criterion Cr2 requires |e2|<|e1|. These inequalities between many absolute values are quantified by four orders of stochastic dominance. Our third criterion Cr3, for the causal path X to Y, requires new generalized partial correlations to satisfy |r*(x|y,z)|< |r*(y|x,z)|. The function parcorVec() reports generalized partials between the first variable and all others. The package provides several R functions including get0outliers() for outlier detection, bigfp() for numerical integration by the trapezoidal rule, stochdom2() for stochastic dominance, pillar3D() for 3D charts, canonRho() for generalized canonical correlations, depMeas() measures nonlinear dependence, and causeSummary(mtx) reports summary of causal paths among matrix columns. Portfolio selection: decileVote(), momentVote(), dif4mtx(), exactSdMtx() can rank several stocks. Functions whose names begin with 'boot' provide bootstrap statistical inference, including a new bootGcRsq() test for "Granger-causality" allowing nonlinear relations. A new tool for evaluation of out-of-sample portfolio performance is outOFsamp(). Panel data implementation is now included. See eight vignettes of the package for theory, examples, and usage tips. See Vinod (2019) \doi{10.1080/03610918.2015.1122048}.

Maintained by H. D. Vinod. Last updated 1 years ago.

13.7 match 2 stars 4.48 score 63 scripts 1 dependents

venpopov

bmm:Easy and Accessible Bayesian Measurement Models Using 'brms'

Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2023) <doi:10.31234/osf.io/umt57>.

Maintained by Vencislav Popov. Last updated 12 days ago.

10.3 match 15 stars 5.92 score 35 scripts

bioc

ggcyto:Visualize Cytometry data with ggplot

With the dedicated fortify method implemented for flowSet, ncdfFlowSet and GatingSet classes, both raw and gated flow cytometry data can be plotted directly with ggplot. ggcyto wrapper and some customed layers also make it easy to add gates and population statistics to the plot.

Maintained by Mike Jiang. Last updated 5 months ago.

immunooncology flowcytometry cellbasedassays infrastructure visualization

5.4 match 58 stars 11.25 score 362 scripts 5 dependents

dgromer

apa:Format Outputs of Statistical Tests According to APA Guidelines

Formatter functions in the 'apa' package take the return value of a statistical test function, e.g. a call to chisq.test() and return a string formatted according to the guidelines of the APA (American Psychological Association).

Maintained by Daniel Gromer. Last updated 10 months ago.

9.2 match 29 stars 6.57 score 86 scripts

r4ss

r4ss:R Code for Stock Synthesis

A collection of R functions for use with Stock Synthesis, a fisheries stock assessment modeling platform written in ADMB by Dr. Richard D. Methot at the NOAA Northwest Fisheries Science Center. The functions include tools for summarizing and plotting results, manipulating files, visualizing model parameterizations, and various other common stock assessment tasks. This version of '{r4ss}' is compatible with Stock Synthesis versions 3.24 through 3.30 (specifically version 3.30.23.1, from December 2024). Support for 3.24 models is only through the core functions for reading output and plotting.

Maintained by Ian G. Taylor. Last updated 4 days ago.

fisheries fisheries-stock-assessment stock-synthesis

5.2 match 43 stars 11.38 score 1.0k scripts 2 dependents

ncss-tech

soilReports:R Markdown Reports and Convenience Functions for Soil Survey

R package container and convenience functions for soil data summary, comparison, and evaluation reports used mainly by NRCS staff.

Maintained by Andrew Brown. Last updated 3 days ago.

nasis nrcs soil soil-survey usda

11.6 match 15 stars 5.11 score 41 scripts

sjentsch

jmvReadWrite:Read and Write 'jamovi' Files ('.omv')

The free and open a statistical spreadsheet 'jamovi' (<https://www.jamovi.org>) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of data and analyses between 'jamovi' and R.

Maintained by Sebastian Jentschke. Last updated 7 hours ago.

jamovi

9.6 match 5 stars 6.09 score 32 scripts

bioc

cola:A Framework for Consensus Partitioning

Subgroup classification is a basic task in genomic data analysis, especially for gene expression and DNA methylation data analysis. It can also be used to test the agreement to known clinical annotations, or to test whether there exist significant batch effects. The cola package provides a general framework for subgroup classification by consensus partitioning. It has the following features: 1. It modularizes the consensus partitioning processes that various methods can be easily integrated. 2. It provides rich visualizations for interpreting the results. 3. It allows running multiple methods at the same time and provides functionalities to straightforward compare results. 4. It provides a new method to extract features which are more efficient to separate subgroups. 5. It automatically generates detailed reports for the complete analysis. 6. It allows applying consensus partitioning in a hierarchical manner.

Maintained by Zuguang Gu. Last updated 1 months ago.

clustering geneexpression classification software consensus-clustering cpp

7.8 match 61 stars 7.49 score 112 scripts

insightsengineering

rtables:Reporting Tables

Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.

Maintained by Joe Zhu. Last updated 2 months ago.

pharmaceuticals tables

4.3 match 232 stars 13.65 score 238 scripts 17 dependents

jaseziv

worldfootballR:Extract and Clean World Football (Soccer) Data

Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.

Maintained by Jason Zivkovic. Last updated 30 days ago.

fbref football football-data soccer-data sports-data transfermarkt understat

5.6 match 499 stars 10.22 score 516 scripts 2 dependents

bioc

RCAS:RNA Centric Annotation System

RCAS is an R/Bioconductor package designed as a generic reporting tool for the functional analysis of transcriptome-wide regions of interest detected by high-throughput experiments. Such transcriptomic regions could be, for instance, signal peaks detected by CLIP-Seq analysis for protein-RNA interaction sites, RNA modification sites (alias the epitranscriptome), CAGE-tag locations, or any other collection of query regions at the level of the transcriptome. RCAS produces in-depth annotation summaries and coverage profiles based on the distribution of the query regions with respect to transcript features (exons, introns, 5'/3' UTR regions, exon-intron boundaries, promoter regions). Moreover, RCAS can carry out functional enrichment analyses and discriminative motif discovery.

Maintained by Bora Uyar. Last updated 5 months ago.

software genetarget motifannotation motifdiscovery go transcriptomics genomeannotation genesetenrichment coverage

9.1 match 6.32 score 29 scripts 1 dependents

ropensci

drake:A Pipeline Toolkit for Reproducible Computation at Scale

A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.

Maintained by William Michael Landau. Last updated 3 months ago.

data-science drake high-performance-computing makefile peer-reviewed pipeline reproducibility reproducible-research ropensci workflow

5.0 match 1.3k stars 11.49 score 1.7k scripts 1 dependents

jcrodriguez1989

rco:The R Code Optimizer

Automatically apply different strategies to optimize R code. 'rco' functions take R code as input, and returns R code as output.

Maintained by Juan Cruz Rodriguez. Last updated 4 months ago.

compiler fast gcc hpc optimization optimizer

8.4 match 82 stars 6.73 score

stevenmmortimer

rdfp:An Implementation of the 'DoubleClick for Publishers' API

Functions to interact with the 'Google DoubleClick for Publishers (DFP)' API <https://developers.google.com/ad-manager/api/start> (recently renamed to 'Google Ad Manager'). This package is automatically compiled from the API WSDL (Web Service Description Language) files to dictate how the API is structured. Theoretically, all API actions are possible using this package; however, care must be taken to format the inputs correctly and parse the outputs correctly. Please see the 'Google Ad Manager' API reference <https://developers.google.com/ad-manager/api/rel_notes> and this package's website <https://stevenmmortimer.github.io/rdfp/> for more information, documentation, and examples.

Maintained by Steven M. Mortimer. Last updated 6 years ago.

api-client api-wrapper dfp dfp-api doubleclick doubleclick-for-publishers google-dfp

8.1 match 16 stars 6.93 score 214 scripts

yufree

enviGCMS:GC/LC-MS Data Analysis for Environmental Science

Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for Environmental Science. This package covered topics such molecular isotope ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental analysis.

Maintained by Miao YU. Last updated 2 months ago.

environment mass-spectrometry metabolomics

8.6 match 17 stars 6.49 score 30 scripts 1 dependents

rapidsurveys

oldr:An Implementation of Rapid Assessment Method for Older People

An implementation of the Rapid Assessment Method for Older People or RAM-OP <https://www.helpage.org/resource/rapid-assessment-method-for-older-people-ramop-manual/>. It provides various functions that allow the user to design and plan the assessment and analyse the collected data. RAM-OP provides accurate and reliable estimates of the needs of older people.

Maintained by Ernest Guevarra. Last updated 1 months ago.

assessment data-analysis odk ram-op rapid-assessment

11.0 match 2 stars 5.00 score 4 scripts

ropensci

EndoMineR:Functions to mine endoscopic and associated pathology datasets

This script comprises the functions that are used to clean up endoscopic reports and pathology reports as well as many of the scripts used for analysis. The scripts assume the endoscopy and histopathology data set is merged already but it can also be used of course with the unmerged datasets.

Maintained by Sebastian Zeki. Last updated 7 months ago.

endoscopy gastroenterology peer-reviewed semi-structured-data text-mining

10.1 match 13 stars 5.47 score 30 scripts

humanpred

tabtibble:Simplify Reporting Many Tables

Simplify reporting many tables by creating tibbles of tables. With 'tabtibble', a tibble of tables is created with captions and automatic printing using knit_print().

Maintained by Bill Denney. Last updated 5 days ago.

reporting tables

13.7 match 1 stars 4.00 score

r-forge

surveillance:Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

Maintained by Sebastian Meyer. Last updated 1 days ago.

cpp

5.1 match 2 stars 10.68 score 446 scripts 3 dependents

bioc

OncoSimulR:Forward Genetic Simulation of Cancer Progression with Epistasis

Functions for forward population genetic simulation in asexual populations, with special focus on cancer progression. Fitness can be an arbitrary function of genetic interactions between multiple genes or modules of genes, including epistasis, order restrictions in mutation accumulation, and order effects. Fitness (including just birth, just death, or both birth and death) can also be a function of the relative and absolute frequencies of other genotypes (i.e., frequency-dependent fitness). Mutation rates can differ between genes, and we can include mutator/antimutator genes (to model mutator phenotypes). Simulating multi-species scenarios and therapeutic interventions, including adaptive therapy, is also possible. Simulations use continuous-time models and can include driver and passenger genes and modules. Also included are functions for: simulating random DAGs of the type found in Oncogenetic Trees, Conjunctive Bayesian Networks, and other cancer progression models; plotting and sampling from single or multiple realizations of the simulations, including single-cell sampling; plotting the parent-child relationships of the clones; generating random fitness landscapes (Rough Mount Fuji, House of Cards, additive, NK, Ising, and Eggbox models) and plotting them.

Maintained by Ramon Diaz-Uriarte. Last updated 11 days ago.

biologicalquestion somaticmutation cpp

9.0 match 7 stars 6.06 score 68 scripts

cran

scaRabee:Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models

A port of the Scarabee toolkit originally written as a Matlab-based application. scaRabee provides a framework for simulation and optimization of pharmacokinetic-pharmacodynamic models at the individual and population level. It is built on top of the neldermead package, which provides the direct search algorithm proposed by Nelder and Mead for model optimization.

Maintained by Sebastien Bihorel. Last updated 3 years ago.

20.2 match 2.70 score 3 scripts

microsoft

vivainsights:Analyze and Visualize Data from 'Microsoft Viva Insights'

Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.

Maintained by Martin Chan. Last updated 23 days ago.

8.9 match 11 stars 6.12 score 68 scripts

biometris

statgenSTA:Single Trial Analysis (STA) of Field Trials

Phenotypic analysis of field trials using mixed models with and without spatial components. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).

Maintained by Bart-Jan van Rossum. Last updated 5 months ago.

genetics single-trial-analysis

8.6 match 4 stars 6.30 score 14 scripts 3 dependents

tbep-tech

wqtrends:Assess Water Quality Trends with Generalized Additive Models

Assess Water Quality Trends for Long-Term Monitoring Data in Estuaries using Generalized Additive Models following Wood (2017) <doi:10.1201/9781315370279> and Error Propagation with Mixed-Effects Meta-Analysis following Sera et al. (2019) <doi:10.1002/sim.8362>. Methods are available for model fitting, assessment of fit, annual and seasonal trend tests, and visualization of results.

Maintained by Marcus Beck. Last updated 5 days ago.

reporting san-francisco-bay time-series-analysis water-quality

10.0 match 10 stars 5.38 score 24 scripts

bioc

ngsReports:Load FastqQC reports and other NGS related files

This package provides methods and object classes for parsing FastQC reports and output summaries from other NGS tools into R. As well as parsing files, multiple plotting methods have been implemented for visualising the parsed data. Plots can be generated as static ggplot objects or interactive plotly objects.

Maintained by Stevie Pederson. Last updated 5 months ago.

qualitycontrol reportwriting

6.8 match 22 stars 7.89 score 99 scripts

moodymudskipper

flow:View and Browse Code Using Flow Diagrams

Visualize as flow diagrams the logic of functions, expressions or scripts in a static way or when running a call, visualize the dependencies between functions or between modules in a shiny app, and more.

Maintained by Antoine Fabri. Last updated 3 months ago.

4.9 match 405 stars 10.84 score 61 scripts

long39ng

remmy:API Client for 'Lemmy'

An HTTP API client for 'Lemmy' (<https://github.com/LemmyNet/lemmy>) in R. Code and documentation are generated from the official 'JavaScript' client source (<https://github.com/LemmyNet/lemmy-js-client>).

Maintained by Long Nguyen. Last updated 2 years ago.

lemmy

19.7 match 2.70 score 4 scripts

dmpe

WufooR:R Wrapper for the 'Wufoo.com' - The Form Building Service

Allows form managers to download entries from their respondents using Wufoo JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when public - can be also acquired programmatically. Note that building new forms within this package is not supported.

Maintained by John Malc. Last updated 5 years ago.

api-client surveymonkey wufoo

12.9 match 4.13 score 27 scripts

josesamos

geogenr:Generator from American Community Survey Geodatabases

The American Community Survey (ACS) <https://www.census.gov/programs-surveys/acs> offers geodatabases with geographic information and associated data of interest to researchers in the area. The goal of this package is to generate objects that allow us to access and consult the information available in various formats, such as in 'GeoPackage' format or in multidimensional 'ROLAP' (Relational On-Line Analytical Processing) star format.

Maintained by Jose Samos. Last updated 11 months ago.

openjdk

13.3 match 2 stars 4.00 score 8 scripts

gregfrog

brew:Templating Framework for Report Generation

Implements a templating framework for mixing text and R code for report generation. brew template syntax is similar to PHP, Ruby's erb module, Java Server Pages, and Python's psp module.

Maintained by Greg Hunt. Last updated 1 years ago.

5.4 match 3 stars 9.72 score 250 scripts 287 dependents

selesnow

rym:R Interface to Yandex Metrica API

Allows work with 'Management API' for load counters, segments, filters, user permissions and goals list from Yandex Metrica, 'Reporting API' allows you to get information about the statistics of site visits and other data without using the web interface, 'Logs API' allows to receive non-aggregated data and 'Compatible with Google Analytics Core Reporting API v3' allows receive information about site traffic and other data using field names from Google Analytics Core API. For more information see official documents <https://yandex.ru/dev/metrika/doc/api2/concept/about-docpage>.

Maintained by Alexey Seleznev. Last updated 2 years ago.

8.0 match 12 stars 6.65 score 31 scripts 1 dependents

pik-piam

mrremind:MadRat REMIND Input Data Package

The mrremind packages contains data preprocessing for the REMIND model.

Maintained by Lavinia Baumstark. Last updated 3 days ago.

8.5 match 4 stars 6.25 score 15 scripts 1 dependents

cran

mistr:Mixture and Composite Distributions

A flexible computational framework for mixture distributions with the focus on the composite models.

Maintained by Lukas Sablica. Last updated 2 years ago.

12.3 match 4.28 score 80 scripts 4 dependents

bioc

qcmetrics:A Framework for Quality Control

The package provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.

Maintained by Laurent Gatto. Last updated 5 months ago.

immunooncology software qualitycontrol proteomics microarray massspectrometry visualization reportwriting

8.7 match 2 stars 6.03 score 2 dependents

bioc

xcms:LC-MS and GC-MS Data Analysis

Framework for processing and visualization of chromatographically separated and single-spectra mass spectral data. Imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. Preprocesses data for high-throughput, untargeted analyte profiling.

Maintained by Steffen Neumann. Last updated 2 days ago.

immunooncology massspectrometry metabolomics bioconductor feature-detection mass-spectrometry peak-detection cpp

3.7 match 196 stars 14.31 score 984 scripts 11 dependents

kwb-r

kwb.pilot:Importing, Aggregating and Visualising Data From KWB Pilot Plants

Collects, aggregates and visualises operational and analytical data from water suppliers (including a standardised reporting document).

Maintained by Michael Rustler. Last updated 2 years ago.

data-aggregation data-import data-visualisation project-aquanes project-mbr40 project-suleman project-ultimate

13.1 match 1 stars 4.01 score 17 scripts

nflverse

nflfastR:Functions to Efficiently Access NFL Play by Play Data

A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

Maintained by Ben Baldwin. Last updated 2 months ago.

american-football football-data nfl nflstats nflverse sports-analytics

5.0 match 442 stars 10.40 score 596 scripts 3 dependents

johncoene

waiter:Loading Screen for 'Shiny'

Full screen and partial loading screens for 'Shiny' with spinners, progress bars, and notifications.

Maintained by John Coene. Last updated 11 months ago.

hacktoberfest shiny

4.0 match 496 stars 12.87 score 702 scripts 68 dependents

rempsyc

rempsyc:Convenience Functions for Psychology

Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.

Maintained by Rémi Thériault. Last updated 1 months ago.

convenience-functions ggplot2 psychology statistics visualization

4.8 match 43 stars 10.68 score 214 scripts 2 dependents

dwbapst

paleoAM:Simulating Assemblage Models of Abundance for the Fossil Record

Provides functions for fitting abundance distributions over environmental gradients to the species in ecological communities, and tools for simulating the fossil assemblages from those abundance models for such communities, as well as simulating assemblages across various patterns of sedimentary history and sampling. These tools are for particular use with fossil records with detailed age models and abundance distributions used for calculating environmental gradients from ordinations or other indices based on fossil assemblages.

Maintained by David W Bapst. Last updated 5 months ago.

11.6 match 4 stars 4.38 score 1 scripts

ankane

rollbar:Error Tracking and Logging

Reports errors and messages to Rollbar, the error tracking platform <https://rollbar.com>.

Maintained by Andrew Kane. Last updated 10 months ago.

13.3 match 12 stars 3.82 score 11 scripts

nathanieltwarog

braidReports:Visualize Combined Action Response Surfaces and Report BRAID Analyses

Provides functions to visualize combined action data in 'ggplot2'. Also provides functions for producing full BRAID analysis reports with custom layouts and aesthetics, using the BRAID method originally described in Twarog et al. (2016) <doi:10.1038/srep25523>.

Maintained by Nathaniel R. Twarog. Last updated 6 months ago.

9.8 match 1 stars 5.13 score 15 scripts

nicwir

QurvE:Robust and User-Friendly Analysis of Growth and Fluorescence Curves

High-throughput analysis of growth curves and fluorescence data using three methods: linear regression, growth model fitting, and smooth spline fit. Analysis of dose-response relationships via smoothing splines or dose-response models. Complete data analysis workflows can be executed in a single step via user-friendly wrapper functions. The results of these workflows are summarized in detailed reports as well as intuitively navigable 'R' data containers. A 'shiny' application provides access to all features without requiring any programming knowledge. The package is described in further detail in Wirth et al. (2023) <doi:10.1038/s41596-023-00850-7>.

Maintained by Nicolas T. Wirth. Last updated 1 years ago.

8.4 match 25 stars 6.00 score 7 scripts

gadget-framework

gadget3:Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3

A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".

Maintained by Jamie Lentin. Last updated 30 days ago.

5.8 match 8 stars 8.69 score 170 scripts

bioc

Rqc:Quality Control Tool for High-Throughput Sequencing Data

Rqc is an optimised tool designed for quality control and assessment of high-throughput sequencing data. It performs parallel processing of entire files and produces a report which contains a set of high-resolution graphics.

Maintained by Welliton Souza. Last updated 5 months ago.

sequencing qualitycontrol dataimport cpp

8.3 match 6.00 score 67 scripts

marce10

warbleR:Streamline Bioacoustic Analysis

Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for explore and quantify acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals.

Maintained by Marcelo Araya-Salas. Last updated 2 months ago.

animal-acoustic-signals audio-processing bioacoustics spectrogram streamline-analysis cpp

4.5 match 54 stars 11.01 score 270 scripts 4 dependents

bioc

Biostrings:Efficient manipulation of biological strings

Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.

Maintained by Hervé Pagès. Last updated 23 days ago.

sequencematching alignment sequencing genetics dataimport datarepresentation infrastructure bioconductor-package core-package

2.8 match 61 stars 17.83 score 8.6k scripts 1.2k dependents