Showing 36 of total 36 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 2 days ago.
easystatshacktoberfestinsightmodelsnamespredictorsrandom
414 stars 17.39 score 568 scripts 214 dependentseasystats
effectsize:Indices of Effect Size
Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Maintained by Mattan S. Ben-Shachar. Last updated 2 months ago.
anovacohens-dcomputeconversioncorrelationeffect-sizeeffectsizehacktoberfesthedges-ginterpretationstandardizationstandardizedstatistics
344 stars 16.38 score 1.8k scripts 29 dependentseasystats
performance:Assessment of Regression Models Performance
Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Maintained by Daniel Lüdecke. Last updated 5 days ago.
aiceasystatshacktoberfestloomachine-learningmixed-modelsmodelsperformancer2statistics
1.1k stars 16.20 score 4.3k scripts 48 dependentseasystats
parameters:Processing of Model Parameters
Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Maintained by Daniel Lüdecke. Last updated 9 days ago.
betabootstrapciconfidence-intervalsdata-reductioneasystatsfafeature-extractionfeature-reductionhacktoberfestparameterspcapvaluesregression-modelsrobust-statisticsstandardizestandardized-estimatesstatistical-models
454 stars 15.67 score 1.8k scripts 56 dependentseasystats
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 2 months ago.
anovasapaautomated-report-generationautomaticbayesiandescribeeasystatshacktoberfestmanuscriptmodelsreportreportingreportsscientificstatsmodels
698 stars 14.48 score 1.1k scripts 3 dependentseasystats
correlation:Methods for Correlation Analysis
Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020) <doi:10.21105/joss.02306>.
Maintained by Brenton M. Wiernik. Last updated 26 days ago.
bayesianbayesian-correlationsbiserialcorcorrelationcorrelation-analysiscorrelationseasystatsgammagaussian-graphical-modelshacktoberfestmatrixmultilevel-correlationsoutlierspartialpartial-correlationsregressionrobustspearman
439 stars 14.23 score 672 scripts 10 dependents
asgr
imager:Image Processing Library Based on 'CImg'
Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Maintained by Aaron Robotham. Last updated 6 days ago.
17 stars 13.53 score 2.4k scripts 44 dependents
r-forge
xtable:Export Tables to LaTeX or HTML
Coerce data to LaTeX and HTML tables.
Maintained by David Scott. Last updated 5 years ago.
13.25 score 26k scripts 2.3k dependents
bioc
EBImage:Image processing and analysis toolbox for R
EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.
Maintained by Andrzej Oleś. Last updated 5 months ago.
visualizationbioinformaticsimage-analysisimage-processingcpp
71 stars 12.77 score 1.5k scripts 33 dependents
suyusung
arm:Data Analysis Using Regression and Multilevel/Hierarchical Models
Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.
Maintained by Yu-Sung Su. Last updated 5 months ago.
25 stars 12.38 score 3.3k scripts 89 dependentsbioc
QFeatures:Quantitative features for mass spectrometry data
The QFeatures infrastructure enables the management and processing of quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manages quantitative data across different assay levels (such as peptide spectrum matches, peptides and proteins) in a coherent and tractable format.
Maintained by Laurent Gatto. Last updated 26 days ago.
infrastructuremassspectrometryproteomicsmetabolomicsbioconductormass-spectrometry
27 stars 11.87 score 278 scripts 49 dependents
irkernel
IRdisplay:'Jupyter' Display Machinery
An interface to the rich display capabilities of 'Jupyter' front-ends (e.g. 'Jupyter Notebook') <https://jupyter.org>. Designed to be used from a running 'IRkernel' session <https://irkernel.github.io>.
Maintained by Philipp Angerer. Last updated 2 years ago.
47 stars 9.98 score 612 scripts 26 dependents
datawookie
emayili:Send Email Messages
A light, simple tool for sending emails with minimal dependencies.
Maintained by Andrew B. Collier. Last updated 2 months ago.
180 stars 9.59 score 95 scripts 3 dependents
reinhardfurrer
spam:SPArse Matrix
Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Maintained by Reinhard Furrer. Last updated 2 months ago.
1 stars 9.36 score 420 scripts 439 dependents
ropensci
ijtiff:Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.net/ij/>. Also supports text image I/O.
Maintained by Rory Nolan. Last updated 7 days ago.
image-manipulationimagejpeer-reviewedtiff-filestiff-imagestiff
18 stars 9.03 score 36 scripts 7 dependents
bgoodri
mi:Missing Data Imputation and Model Checking
The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.
Maintained by Ben Goodrich. Last updated 3 years ago.
2 stars 8.25 score 244 scripts 47 dependents
jonclayden
mmand:Mathematical Morphology in Any Number of Dimensions
Provides tools for performing mathematical morphology operations, such as erosion and dilation, on data of arbitrary dimensionality. Can also be used for finding connected components, resampling, filtering, smoothing and other image processing-style operations.
Maintained by Jon Clayden. Last updated 1 years ago.
image-processingmorphologyresamplingcppopenmp
37 stars 7.42 score 223 scripts 9 dependentsbioc
igvShiny:igvShiny: a wrapper of Integrative Genomics Viewer (IGV - an interactive tool for visualization and exploration integrated genomic data)
This package is a wrapper of Integrative Genomics Viewer (IGV). It comprises an htmlwidget version of IGV. It can be used as a module in Shiny apps.
Maintained by Arkadiusz Gladki. Last updated 5 months ago.
softwareshinyappssequencingcoverage
37 stars 7.40 score 120 scriptsbioc
maser:Mapping Alternative Splicing Events to pRoteins
This package provides functionalities for downstream analysis, annotation and visualizaton of alternative splicing events generated by rMATS.
Maintained by Diogo F.T. Veiga. Last updated 5 months ago.
alternativesplicingtranscriptomicsvisualization
17 stars 6.74 score 18 scripts
skranz
RTutor:Interactive R problem sets with automatic testing of solutions and automatic hints
Interactive R problem sets with automatic testing of solutions and automatic hints
Maintained by Sebastian Kranz. Last updated 1 years ago.
economicslearn-to-codeproblem-setrstudiortutorshinyteaching
205 stars 5.83 score 111 scripts 1 dependents
process-analytics
bpmnVisualizationR:Visualize Process Execution Data on 'BPMN' Diagrams
To visualize the execution data of the processes on 'BPMN' (Business Process Model and Notation) diagrams, using overlays, style customization and interactions, with the 'bpmn-visualization' 'TypeScript' library.
Maintained by Celine Souchet. Last updated 2 months ago.
bpmnbpmn-visualizationhacktoberfestprocess-analyticsvisualization
16 stars 5.51 score 3 scriptsskranz
shinyEvents:Shiny wrapper with event handlers instead of reactivity
Shiny is a great package. Yet, for more complex projects, with much dynamic UI, I find it hard to write clean code with its reactivity paradigm. This package wraps shiny into a more traditional programming approach: - event handlers for input changes and button clicks - explicit update functions to change outputs - no explicit server function
Maintained by Sebastian Kranz. Last updated 2 years ago.
36 stars 4.99 score 26 scripts 7 dependents
nteetor
cascadess:A Style Pronoun for 'htmltools' Tags
Apply styles to tag elements directly and with the .style pronoun. Using the pronoun, styles are created within the context of a tag element. Change borders, backgrounds, text, margins, layouts, and more.
Maintained by Nathan Teetor. Last updated 5 months ago.
18 stars 4.80 score 4 scripts
vpnagraj
twoxtwo:Work with Two-by-Two Tables
A collection of functions for data analysis with two-by-two contingency tables. The package provides tools to compute measures of effect (odds ratio, risk ratio, and risk difference), calculate impact numbers and attributable fractions, and perform hypothesis testing. Statistical analysis methods are oriented towards epidemiological investigation of relationships between exposures and outcomes.
Maintained by VP Nagraj. Last updated 3 years ago.
2 stars 4.68 score 12 scriptsbioc
interactiveDisplayBase:Base package for enabling powerful shiny web displays of Bioconductor objects
The interactiveDisplayBase package contains the the basic methods needed to generate interactive Shiny based display methods for Bioconductor objects.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
gogeneexpressionmicroarraysequencingclassificationnetworkqualitycontrolvisualizationgeneticsdatarepresentationguiannotationdatashinyapps
4.67 score 5 scripts 1 dependents
melff
RKernel:Yet another R kernel for Jupyter
Provides a kernel for Jupyter.
Maintained by Martin Elff. Last updated 10 days ago.
jupyterjupyter-kerneljupyter-kernelsjupyter-notebook
39 stars 4.63 score
henrikbengtsson
aroma.core:Core Methods and Classes Used by 'aroma.*' Packages Part of the Aroma Framework
Core methods and classes used by higher-level 'aroma.*' packages part of the Aroma Project, e.g. 'aroma.affymetrix' and 'aroma.cn'.
Maintained by Henrik Bengtsson. Last updated 2 years ago.
microarrayonechanneltwochannelmultichanneldataimportdatarepresentationguivisualizationpreprocessingqualitycontrolacghcopynumbervariants
1 stars 4.30 score 16 scripts 6 dependents
gallegoj
tfarima:Transfer Function and ARIMA Models
Building customized transfer function and ARIMA models with multiple operators and parameter restrictions. Functions for model identification, model estimation (exact or conditional maximum likelihood), model diagnostic checking, automatic outlier detection, calendar effects, forecasting and seasonal adjustment. See Bell and Hillmer (1983) <doi:10.1080/01621459.1983.10478005>, Box, Jenkins, Reinsel and Ljung <ISBN:978-1-118-67502-1>, Box, Pierce and Newbold (1987) <doi:10.1080/01621459.1987.10478430>, Box and Tiao (1975) <doi:10.1080/01621459.1975.10480264>, Chen and Liu (1993) <doi:10.1080/01621459.1993.10594321>.
Maintained by Jose L. Gallego. Last updated 1 years ago.
2 stars 4.04 score 11 scripts
sigbertklinke
mmstat4:Access to Teaching Materials from a ZIP File or GitHub
Provides access to teaching materials for various statistics courses, including R and Python programs, Shiny apps, data, and PDF/HTML documents. These materials are stored on the Internet as a ZIP file (e.g., in a GitHub repository) and can be downloaded and displayed or run locally. The content of the ZIP file is temporarily or permanently stored. By default, the package uses the GitHub repository 'sigbertklinke/mmstat4.data.' Additionally, the package includes 'association_measures.R' from the archived package 'ryouready' by Mark Heckman and some auxiliary functions.
Maintained by Sigbert Klinke. Last updated 7 months ago.
4.00 score 1 scriptsskranz
gtree:gtree basic functionality to model and solve games
gtree basic functionality to model and solve games
Maintained by Sebastian Kranz. Last updated 4 years ago.
economic-experimentseconomicsgambitgame-theorynash-equilibrium
18 stars 3.79 score 23 scripts 1 dependents
nplatonov
ursa:Non-Interactive Spatial Tools for Raster Processing and Visualization
S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.
Maintained by Nikita Platonov. Last updated 11 months ago.
7 stars 3.54 score 5 scriptsbioc
interactiveDisplay:Package for enabling powerful shiny web displays of Bioconductor objects
The interactiveDisplay package contains the methods needed to generate interactive Shiny based display methods for Bioconductor objects.
Maintained by Bioconductor Package Maintainer. Last updated 3 months ago.
gogeneexpressionmicroarraysequencingclassificationnetworkqualitycontrolvisualizationgeneticsdatarepresentationguiannotationdatashinyapps
3.48 score 4 scripts
rogiersbart
rui:A simple set of UI functions
This package provides a wrapper around different cli and usethis functions, aiming at providing a small but consistent set of verbs to construct a simple R package UI.
Maintained by Bart Rogiers. Last updated 9 months ago.
3.48 score 2 dependents
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
cran
notebookutils:Dummy R APIs Used in 'Azure Synapse Analytics' for Local Developments
This is a pure dummy interfaces package which mirrors 'MsSparkUtils' APIs <https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/microsoft-spark-utilities?pivots=programming-language-r> of 'Azure Synapse Analytics' <https://learn.microsoft.com/en-us/azure/synapse-analytics/> for R users, customer of Azure Synapse can download this package from CRAN for local development.
Maintained by runtimeexp. Last updated 12 months ago.
2.00 score