Showing 67 of total 67 results (show query)
easystats
insight:Easy Access to Model Information for Various Model Objects
A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Maintained by Daniel Lüdecke. Last updated 4 days ago.
easystatshacktoberfestinsightmodelsnamespredictorsrandom
412 stars 17.38 score 568 scripts 213 dependents
jacob-long
jtools:Analysis and Presentation of Social Scientific Data
This is a collection of tools for more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Support for models produced by the survey and lme4 packages are points of emphasis.
Maintained by Jacob A. Long. Last updated 7 months ago.
167 stars 14.48 score 4.0k scripts 14 dependents
cvxgrp
CVXR:Disciplined Convex Optimization
An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source.
Maintained by Anqi Fu. Last updated 5 months ago.
207 stars 12.89 score 768 scripts 51 dependents
uupharmacometrics
xpose:Diagnostics for Pharmacometric Models
Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <https://www.iconplc.com/solutions/technologies/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Maintained by Benjamin Guiastrennec. Last updated 3 months ago.
diagnosticsggplot2nonmempharmacometricsxpose
62 stars 11.02 score 183 scripts 6 dependents
cjvanlissa
tidySEM:Tidy Structural Equation Modeling
A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize. Includes functionality to estimate latent class analyses, and to plot 'dagitty' and 'igraph' objects.
Maintained by Caspar J. van Lissa. Last updated 19 days ago.
58 stars 10.69 score 330 scripts 1 dependents
bioc
MOFA2:Multi-Omics Factor Analysis v2
The MOFA2 package contains a collection of tools for training and analysing multi-omic factor analysis (MOFA). MOFA is a probabilistic factor model that aims to identify principal axes of variation from data sets that can comprise multiple omic layers and/or groups of samples. Additional time or space information on the samples can be incorporated using the MEFISTO framework, which is part of MOFA2. Downstream analysis functions to inspect molecular features underlying each factor, vizualisation, imputation etc are available.
Maintained by Ricard Argelaguet. Last updated 5 months ago.
dimensionreductionbayesianvisualizationfactor-analysismofamulti-omics
319 stars 10.02 score 502 scripts
nicholasjclark
mvgam:Multivariate (Dynamic) Generalized Additive Models
Fit Bayesian Dynamic Generalized Additive Models to multivariate observations. Users can build nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2023) <doi:10.1111/2041-210X.13974>.
Maintained by Nicholas J Clark. Last updated 1 days ago.
bayesian-statisticsdynamic-factor-modelsecological-modellingforecastinggaussian-processgeneralised-additive-modelsgeneralized-additive-modelsjoint-species-distribution-modellingmultilevel-modelsmultivariate-timeseriesstantime-series-analysistimeseriesvector-autoregressionvectorautoregressioncpp
146 stars 9.90 score 117 scripts
grunwaldlab
metacoder:Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Reads, plots, and manipulates large taxonomic data sets, like those generated from modern high-throughput sequencing, such as metabarcoding (i.e. amplification metagenomics, 16S metagenomics, etc). It provides a tree-based visualization called "heat trees" used to depict statistics for every taxon in a taxonomy using color and size. It also provides various functions to do common tasks in microbiome bioinformatics on data in the 'taxmap' format defined by the 'taxa' package. The 'metacoder' package is described in the publication by Foster et al. (2017) <doi:10.1371/journal.pcbi.1005404>.
Maintained by Zachary Foster. Last updated 2 months ago.
community-diversityhierarchicalmetabarcodingpcrtaxonomytreescpp
140 stars 9.64 score 328 scripts
bluefoxr
COINr:Composite Indicator Construction and Analysis
A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.
Maintained by William Becker. Last updated 2 months ago.
26 stars 9.07 score 73 scripts 1 dependents
data-edu
tidyLPA:Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Easily carry out latent profile analysis ("LPA"), determine the correct number of classes based on best practices, and tabulate and plot the results. Provides functionality to estimate commonly-specified models with free means, variances, and covariances for each profile. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Models can be estimated using the free open source 'R' packages 'Mclust' and 'OpenMx', or using the commercial program 'MPlus', via the 'MplusAutomation' package.
Maintained by Joshua M Rosenberg. Last updated 1 years ago.
58 stars 8.76 score 121 scripts
mikejohnson51
climateR:climateR
Find, subset, and retrive geospatial data by AOI.
Maintained by Mike Johnson. Last updated 4 months ago.
aoiclimatedatasetgeospatialgridded-climate-dataweather
187 stars 8.74 score 156 scripts 1 dependents
radiant-rstats
radiant.data:Data Menu for Radiant: Business Analytics using R and Shiny
The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Maintained by Vincent Nijs. Last updated 5 months ago.
53 stars 8.25 score 146 scripts 6 dependents
r-world-devs
cohortBuilder:Data Source Agnostic Filtering Tools
Common API for filtering data stored in different data models. Provides multiple filter types and reproducible R code. Works standalone or with 'shinyCohortBuilder' as the GUI for interactive Shiny apps.
Maintained by Krystian Igras. Last updated 10 days ago.
8 stars 8.01 score 55 scripts 1 dependents
ropensci
dynamite:Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.
Maintained by Santtu Tikka. Last updated 2 days ago.
bayesian-inferencepanel-datastanstatistical-models
29 stars 7.90 score 20 scripts
genentech
psborrow2:Bayesian Dynamic Borrowing Analysis and Simulation
Bayesian dynamic borrowing is an approach to incorporating external data to supplement a randomized, controlled trial analysis in which external data are incorporated in a dynamic way (e.g., based on similarity of outcomes); see Viele 2013 <doi:10.1002/pst.1589> for an overview. This package implements the hierarchical commensurate prior approach to dynamic borrowing as described in Hobbes 2011 <doi:10.1111/j.1541-0420.2011.01564.x>. There are three main functionalities. First, 'psborrow2' provides a user-friendly interface for applying dynamic borrowing on the study results handles the Markov Chain Monte Carlo sampling on behalf of the user. Second, 'psborrow2' provides a simulation framework to compare different borrowing parameters (e.g. full borrowing, no borrowing, dynamic borrowing) and other trial and borrowing characteristics (e.g. sample size, covariates) in a unified way. Third, 'psborrow2' provides a set of functions to generate data for simulation studies, and also allows the user to specify their own data generation process. This package is designed to use the sampling functions from 'cmdstanr' which can be installed from <https://stan-dev.r-universe.dev>.
Maintained by Matt Secrest. Last updated 1 months ago.
bayesian-dynamic-borrowingpsborrow2simulation-study
18 stars 7.87 score 16 scripts
ellessenne
rsimsum:Analysis of Simulation Studies Including Monte Carlo Error
Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.
Maintained by Alessandro Gasparini. Last updated 11 months ago.
biostatisticsmonte-carlo-errorsimulationsimulation-studysimulationsstatistics
28 stars 7.70 score 148 scripts
matrix-profile-foundation
tsmp:Time Series with Matrix Profile
A toolkit implementing the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
Maintained by Francisco Bischoff. Last updated 3 years ago.
algorithmmatrix-profilemotif-searchtime-seriescpp
72 stars 7.29 score 179 scripts 1 dependents
edwindj
cbsodataR:Statistics Netherlands (CBS) Open Data API Client
The data and meta data from Statistics Netherlands (<https://www.cbs.nl>) can be browsed and downloaded. The client uses the open data API of Statistics Netherlands.
Maintained by Edwin de Jonge. Last updated 6 months ago.
cbscensus-dataofficialstatisticsopendatastatistics-netherlands
33 stars 7.23 score 173 scripts
hadley
ggvis:Interactive Grammar of Graphics
An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'.
Maintained by Hadley Wickham. Last updated 1 years ago.
1 stars 7.02 score 2.3k scripts 11 dependents
yangjasp
optimall:Allocate Samples Among Strata
Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits.
Maintained by Jasper Yang. Last updated 1 months ago.
5 stars 6.49 score 39 scripts
aleksanderbl29
dawaR:An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Maintained by Aleksander Bang-Larsen. Last updated 1 months ago.
3 stars 6.49 score 9 scripts 1 dependents
emeyers
NeuroDecodeR:Decode Information from Neural Activity
Neural decoding is method of analyzing neural data that uses a pattern classifiers to predict experimental conditions based on neural activity. 'NeuroDecodeR' is a system of objects that makes it easy to run neural decoding analyses. For more information on neural decoding see Meyers & Kreiman (2011) <doi:10.7551/mitpress/8404.003.0024>.
Maintained by Ethan Meyers. Last updated 1 years ago.
12 stars 6.49 score 17 scripts
crazycapivara
deckgl:An R Interface to 'deck.gl'
Makes 'deck.gl' <https://deck.gl/>, a WebGL-powered open-source JavaScript framework for visual exploratory data analysis of large datasets, available within R via the 'htmlwidgets' package. Furthermore, it supports basemaps from 'mapbox' <https://www.mapbox.com/> via 'mapbox-gl-js' <https://github.com/mapbox/mapbox-gl-js>.
Maintained by Stefan Kuethe. Last updated 2 years ago.
deck-glhtmlwidgetsmapbox-glmapsrspatialspatialwebgl
94 stars 6.40 score 54 scripts
spesenti
SWIM:Scenario Weights for Importance Measurement
An efficient sensitivity analysis for stochastic models based on Monte Carlo samples. Provides weights on simulated scenarios from a stochastic model, such that stressed random variables fulfil given probabilistic constraints (e.g. specified values for risk measures), under the new scenario weights. Scenario weights are selected by constrained minimisation of the relative entropy to the baseline model. The 'SWIM' package is based on Pesenti S.M., Millossovich P., Tsanakas A. (2019) "Reverse Sensitivity Testing: What does it take to break the model" <openaccess.city.ac.uk/id/eprint/18896/> and Pesenti S.M. (2021) "Reverse Sensitivity Analysis for Risk Modelling" <https://www.ssrn.com/abstract=3878879>.
Maintained by Silvana M. Pesenti. Last updated 3 years ago.
8 stars 6.38 score 20 scripts
expersso
ecb:Programmatic Access to the European Central Bank's Data Portal
Provides an interface to the European Central Bank's Data Portal API, allowing for programmatic retrieval of a vast quantity of statistical data.
Maintained by Eric Persson. Last updated 9 days ago.
14 stars 6.24 score 58 scripts
jameel-institute
daedalus:Model Health, Social, and Economic Costs of a Pandemic
Model the health, education, and economic costs of directly transmitted respiratory virus pandemics, under different scenarios of prior vaccine investment and reactive interventions, using the 'DAEDALUS' integrated health-economics model adapted from Haw et al. (2022) <doi.org/10.1038/s43588-022-00233-0>.
Maintained by Pratik Gupte. Last updated 2 hours ago.
decision-supportepidemiological-modelshealth-economicspandemic-preparednesspublic-healthrcppsdg-3cppopenmp
4 stars 5.95 score 8 scripts
tirgit
missCompare:Intuitive Missing Data Imputation Framework
Offers a convenient pipeline to test and compare various missing data imputation algorithms on simulated and real data. These include simpler methods, such as mean and median imputation and random replacement, but also include more sophisticated algorithms already implemented in popular R packages, such as 'mi', described by Su et al. (2011) <doi:10.18637/jss.v045.i02>; 'mice', described by van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>; 'missForest', described by Stekhoven and Buhlmann (2012) <doi:10.1093/bioinformatics/btr597>; 'missMDA', described by Josse and Husson (2016) <doi:10.18637/jss.v070.i01>; and 'pcaMethods', described by Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>. The central assumption behind 'missCompare' is that structurally different datasets (e.g. larger datasets with a large number of correlated variables vs. smaller datasets with non correlated variables) will benefit differently from different missing data imputation algorithms. 'missCompare' takes measurements of your dataset and sets up a sandbox to try a curated list of standard and sophisticated missing data imputation algorithms and compares them assuming custom missingness patterns. 'missCompare' will also impute your real-life dataset for you after the selection of the best performing algorithm in the simulations. The package also provides various post-imputation diagnostics and visualizations to help you assess imputation performance.
Maintained by Tibor V. Varga. Last updated 4 years ago.
comparisoncomparison-benchmarksimputationimputation-algorithmimputation-methodsimputationskolmogorov-smirnovmissingmissing-datamissing-data-imputationmissing-status-checkmissing-valuesmissingnesspost-imputation-diagnosticsrmse
39 stars 5.89 score 40 scripts
bradleyboehmke
completejourney:Retail Shopping Data
Retail shopping transactions for 2,469 households over one year. Originates from the 84.51° Complete Journey 2.0 source files <https://www.8451.com/area51> which also includes useful metadata on products, coupons, campaigns, and promotions.
Maintained by Brad Boehmke. Last updated 5 years ago.
21 stars 5.70 score 42 scripts
noaa-fims
FIMS:The Fisheries Integrated Modeling System
The Fisheries Integrated Modeling System is a next-generation framework of stock assessment models, assisting fishery managers with the goal of achieving sustainable fisheries. This system, when completed in a few years, offers the NOAA Fisheries and global fisheries science communities an advanced set of stock assessment models. These tools can be used separately or in combination to incorporate ecosystem and socioeconomic data and models, as well as climate effects and other drivers within the marine environment, into stock assessment models.
Maintained by Kelli F. Johnson. Last updated 2 months ago.
23 stars 5.67 score 24 scripts
mkoohafkan
cimir:Interface to the CIMIS Web API
Connect to the California Irrigation Management Information System (CIMIS) Web API. See the CIMIS main page <https://cimis.water.ca.gov> and web API documentation <https://et.water.ca.gov> for more information.
Maintained by Michael Koohafkan. Last updated 7 months ago.
6 stars 5.31 score 34 scripts
reedacartwright
rbedrock:Analysis and Manipulation of Data from Minecraft Bedrock Edition
Implements an interface to Minecraft (Bedrock Edition) worlds. Supports the analysis and management of these worlds and game saves.
Maintained by Reed Cartwright. Last updated 3 days ago.
43 stars 5.29 score 3 scripts
virmar
finnishgrid:'Fingrid Open Data API' R Client
R API client package for 'Fingrid Open Data' on the electricity market and the power system. get_data() function holds the main application logic to retrieve time-series data. API calls require free user account registration.
Maintained by Markus Virtanen. Last updated 10 months ago.
2 stars 5.24 score 175 scripts
netfacs
NetFACS:Network Applications to Facial Communication Data
Functions to analyze and visualize communication data, based on network theory and resampling methods. Farine, D. R. (2017) <doi:10.1111/2041-210X.12772>; Carsey, T., & Harden, J. (2014) <doi:10.4135/9781483319605>. Primarily targeted at datasets of facial expressions coded with the Facial Action Coding System. Ekman, P., Friesen, W. V., & Hager, J. C. (2002). "Facial action coding system - investigator's guide" <https://www.paulekman.com/facial-action-coding-system/>.
Maintained by Alan V. Rincon. Last updated 11 months ago.
8 stars 5.08 score 5 scripts
julia-wrobel
mxfda:A Functional Data Analysis Package for Spatial Single Cell Data
Methods and tools for deriving spatial summary functions from single-cell imaging data and performing functional data analyses. Functions can be applied to other single-cell technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.
Maintained by Alex Soupir. Last updated 1 months ago.
1 stars 5.08 score 8 scriptsropensci
hydroscoper:Interface to the Greek National Data Bank for Hydrometeorological Information
R interface to the Greek National Data Bank for Hydrological and Meteorological Information. It covers Hydroscope's data sources and provides functions to transliterate, translate and download them into tidy dataframes.
Maintained by Konstantinos Vantas. Last updated 8 months ago.
climategreecehydrologyhydrometeorologyhydroscopemeteorological-datameteorological-stationspeer-reviewedtidy-datatime-serieswater-resources
14 stars 4.97 score 33 scripts
nhs-r-community
NHSRpopulation:Indices of Multiple Deprivation (IMD) for England
This package includes functions to retrieve the Indices of Multiple Deprivation (IMD) data from the ONS by LSOA, currently for England.
Maintained by Zoë Turner. Last updated 10 months ago.
11 stars 4.94 score 5 scripts
banboo-data
r4googleads:'Google Ads API' Interface
Interface for the 'Google Ads API'. 'Google Ads' is an online advertising service that enables advertisers to display advertising to web users (see <https://developers.google.com/google-ads/> for more information).
Maintained by Johannes Burkhardt. Last updated 3 years ago.
google-ads-apimarketing-analyticsmarketing-automation
4 stars 4.78 score 6 scripts
valerivoev
danstat:R Client for the Statistics Denmark Databank API
The purpose of the package is to enable an R function interface into the Statistics Denmark Databank API mainly for research purposes. The Statistics Denmark Databank API has four endpoints, see here for more information and testing the API in their console: <https://www.dst.dk/en/Statistik/brug-statistikken/muligheder-i-statistikbanken/api>. This package mimics the structure of the API and provides four main functions to match the functionality of the API endpoints.
Maintained by Valeri Voev. Last updated 3 years ago.
6 stars 4.73 score 18 scripts
felicienll
mapbayr:MAP-Bayesian Estimation of PK Parameters
Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in 'mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.
Maintained by Felicien Le Louedec. Last updated 2 years ago.
21 stars 4.55 score 34 scripts
iiasa
ibis.iSDM:Modelling framework for integrated biodiversity distribution scenarios
Integrated framework of modelling the distribution of species and ecosystems in a suitability framing. This package allows the estimation of integrated species distribution models (iSDM) based on several sources of evidence and provided presence-only and presence-absence datasets. It makes heavy use of point-process models for estimating habitat suitability and allows to include spatial latent effects and priors in the estimation. To do so 'ibis.iSDM' supports a number of engines for Bayesian and more non-parametric machine learning estimation. Further, the 'ibis.iSDM' is specifically customized to support spatial-temporal projections of habitat suitability into the future.
Maintained by Martin Jung. Last updated 5 months ago.
bayesianbiodiversityintegrated-frameworkpoisson-processscenariossdmspatial-grainspatial-predictionsspecies-distribution-modelling
21 stars 4.36 score 12 scripts 1 dependents
hanjunwei-lab
DTSEA:Drug Target Set Enrichment Analysis
It is a novel tool used to identify the candidate drugs against a particular disease based on the drug target set enrichment analysis. It assumes the most effective drugs are those with a closer affinity in the protein-protein interaction network to the specified disease. (See Gómez-Carballa et al. (2022) <doi: 10.1016/j.envres.2022.112890> and Feng et al. (2022) <doi: 10.7150/ijms.67815> for disease expression profiles; see Wishart et al. (2018) <doi: 10.1093/nar/gkx1037> and Gaulton et al. (2017) <doi: 10.1093/nar/gkw1074> for drug target information; see Kanehisa et al. (2021) <doi: 10.1093/nar/gkaa970> for the details of KEGG database.)
Maintained by Junwei Han. Last updated 2 years ago.
4.32 score 42 scripts
koenniem
mpathsenser:Process and Analyse Data from m-Path Sense
Overcomes one of the major challenges in mobile (passive) sensing, namely being able to pre-process the raw data that comes from a mobile sensing app, specifically 'm-Path Sense' <https://m-path.io>. The main task of 'mpathsenser' is therefore to read 'm-Path Sense' JSON files into a database and provide several convenience functions to aid in data processing.
Maintained by Koen Niemeijer. Last updated 1 months ago.
1 stars 4.30 score 6 scripts
thiyangt
DSjobtracker:What Skills and Qualifications are Required for Data Science Related Jobs?
Dataset containing information about job listings for data science job roles.
Maintained by Thiyanga S. Talagala. Last updated 1 years ago.
datasetqualificationsskillsstatisticstidy
3 stars 4.29 score 13 scripts
zumbov2
swissparl:Interface to the Webservices of the Swiss Parliament
Retrieves the most important data on parliamentary activities of the Swiss Federal Assembly via an open, machine-readable interface (see <https://ws.parlament.ch/odata.svc/>).
Maintained by David Zumbach. Last updated 3 years ago.
apiopendatapoliticsswitzerland
33 stars 4.22 score 1 scripts
tanguybarthelemy
TBox:Useful Functions for Programming and Generating Documents
Tools to help developers and producers manipulate R objects and outputs. It includes tools for displaying results and objects, and for formatting them in the correct format.
Maintained by Tanguy Barthelemy. Last updated 3 days ago.
4.04 score
sumtxt
bonn:Access INKAR Database
Retrieve and import data from the INKAR database (Indikatoren und Karten zur Raum- und Stadtentwicklung Datenbank, <[https://www.inkar.de]https://www.inkar.de>) of the Federal Office for Building and Regional Planning (BBSR) in Bonn using their JSON API.
Maintained by Moritz Marbach. Last updated 2 years ago.
17 stars 3.93 score 3 scripts
mariushofert
qrmtools:Tools for Quantitative Risk Management
Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Maintained by Marius Hofert. Last updated 1 years ago.
1 stars 3.85 score 237 scripts
adrtod
rchallenge:A Simple Data Science Challenge System
A simple data science challenge system using R Markdown and 'Dropbox' <https://www.dropbox.com/>. It requires no network configuration, does not depend on external platforms like e.g. 'Kaggle' <https://www.kaggle.com/> and can be easily installed on a personal computer.
Maintained by Adrien Todeschini. Last updated 4 years ago.
7 stars 3.85 score 20 scripts
ropengov
ogdindiar:API Access to Datasets on Open Government Data - India Portal
Provides API access to selected datasets on Open Government Data - India Portal.
Maintained by Dhrumin Shah. Last updated 2 years ago.
3.60 score 6 scripts
neuhausi
canvasXpress.data:Datasets for the 'canvasXpress' Package
Contains the prepared data that is needed for the 'shiny' application examples in the 'canvasXpress' package. This package also includes datasets used for automated 'testthat' tests. Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. (2008) <doi:10.1002/gcc.20577>. Davis S, Meltzer PS (2007) <doi:10.1093/bioinformatics/btm254>.
Maintained by Connie Brett. Last updated 4 years ago.
1 stars 3.48 score 3 scripts
jfwambaugh
invivoPKfit:Fits Toxicokinetic Models to In Vivo PK Data Sets
Takes in vivo toxicokinetic concentration-time data and fits parameters of 1-compartment and 2-compartment models for each chemical. These methods are described in detail in "Informatics for Toxicokinetics" (submitted).
Maintained by John Wambaugh. Last updated 4 days ago.
3.48 score 4 scripts
zhukovyuri
SUNGEO:Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System.
Maintained by Yuri M. Zhukov. Last updated 11 months ago.
5 stars 3.42 score 8 scripts
stan-dev
posteriordb:R functionality for posteriordb
R functionality of easy handling of the posteriordb posteriors.
Maintained by Mans Magnusson. Last updated 2 years ago.
8 stars 3.37 score 59 scripts
lbau7
basksim:Simulation-Based Calculation of Basket Trial Operating Characteristics
Provides a unified syntax for the simulation-based comparison of different single-stage basket trial designs with a binary endpoint and equal sample sizes in all baskets. Methods include the designs by Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988>, Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>, Berry et al. (2020) <doi:10.1177/1740774513497539>, Neuenschwander et al. (2016) <doi:10.1002/pst.1730> and Psioda et al. (2021) <doi:10.1093/biostatistics/kxz014>. For the latter three designs, the functions are mostly wrappers for functions provided by the packages 'bhmbasket' and 'bmabasket'.
Maintained by Lukas Baumann. Last updated 12 months ago.
1 stars 3.28 score 19 scripts
inbo
n2kanalysis:Generic Functions to Analyse Data from the 'Natura 2000' Monitoring
All generic functions and classes for the analysis for the 'Natura 2000' monitoring. The classes contain all required data and definitions to fit the model without the need to access other sources. Potentially they might need access to one or more parent objects. An aggregation object might for example need the result of an imputation object. The actual definition of the analysis, using these generic function and classes, is defined in dedictated analysis R packages for every monitoring scheme. For example 'abvanalysis' and 'watervogelanalysis'.
Maintained by Thierry Onkelinx. Last updated 2 months ago.
1 stars 3.18 score 7 scripts
learnitr
learnitprogress:Report Student Progress in 'LearnIt::R' Courses
A Shiny app that connects to you LRS ("Learning Record Store" database, as created and managed by the 'learnitdown' package) and displays a report showing the completion of exercices and projects. This report is intended for students to track their progress in the course.
Maintained by Philippe Grosjean. Last updated 6 months ago.
learning-analyticslearning-analytics-dashboardteaching-tools
3.00 score
feddelegrand7
radous:Query Random User Data from the Random User Generator API
Generate random user data from the Random User Generator API. For more information, see <https://randomuser.me/>.
Maintained by Mohamed El Fodil Ihaddaden. Last updated 4 years ago.
apirandom-datarandom-data-generation
1 stars 2.70 score 9 scripts
vforwater
json2aRgs:Parse Parameters Inside a Docker Container
The functions get_parameters() and get_data() are intended to be used within a docker container with a certain file structure to read keyword arguments from the file /in/input.json automagically. The file /src/tool.yaml contains specifications on these keyword arguments, which are then passed as input to containerized R tools in the tool-runner framework.. A template for a containerized R tool, which can be used as a basis for developing new tools, is available at the following URL: <https://github.com/VForWaTer/tool_template_r>.
Maintained by Alexander Dolich. Last updated 9 months ago.
2.70 score 3 scripts
enriquefeas
exvatools:Value Added in Exports and Other Input-Output Table Analysis Tools
Analysis of trade in value added with international input-output tables. Includes commands for easy data extraction, matrix manipulation, decomposition of value added in gross exports and calculation of value added indicators, with full geographical and sector customization. Decomposition methods include Borin and Mancini (2023) <doi:10.1080/09535314.2022.2153221>, Miroudot and Ye (2021) <doi:10.1080/09535314.2020.1730308>, Wang et al. (2013) <https://econpapers.repec.org/paper/nbrnberwo/19677.htm> and Koopman et al. (2014) <doi:10.1257/aer.104.2.459>.
Maintained by Enrique Feas. Last updated 6 months ago.
1 stars 2.56 score 12 scriptsropengov
kelaopendata:Access open data from National social insurance institution of Finland
Designed to simplify and speed up access to open data from National social insurance institution of Finland (KELA) published at <https://www.avoindata.fi/data/fi/organization/kela>, the kelaopendata package offers researchers and analysts a set of tools to obtain data and metadata for a wide range of applications.
Maintained by Markus Kainu. Last updated 4 months ago.
dataopen-datasocial-security-data
1 stars 2.40 score
oxfordihtm
oxcgrt:An Interface to the Oxford COVID-19 Government Response Tracker API
The Oxford COVID-19 Government Response Tracker (OxCGRT) tracks and compares worldwide government responses to the COVID-19 pandemic rigorously and consistently. OxCGRT makes available systematic information in a consistent way, aiding those who require information have access to it efficiently for their purposes. This package facilitates access to the OxCGRT data via its API <https://covidtracker.bsg.ox.ac.uk/> and includes functions to calculate the various OxCGRT indices in R.
Maintained by Ernest Guevarra. Last updated 12 months ago.
1 stars 2.15 score 14 scripts
distancedevelopment
readdst:Convert Distance for Windows projects to R analyses
Take projects built using Distance for Windows and create R scripts which duplicate the analysis. Optionally build a test suite that checks analysis results from Distance with the equivalent R results.
Maintained by David Miller. Last updated 4 years ago.
1 stars 1.78 score 12 scripts
sebkrantz
ugatsdb:Uganda Time Series Database API
An R API providing easy access to a relational database with macroeconomic, financial and development related time series data for Uganda. Overall more than 5000 series at varying frequency (daily, monthly, quarterly, annual in fiscal or calendar years) can be accessed through the API. The data is provided by the Bank of Uganda, the Ugandan Ministry of Finance, Planning and Economic Development, the IMF and the World Bank. The database is being updated once a month.
Maintained by Sebastian Krantz. Last updated 2 years ago.
1.00 score 9 scripts