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easystats
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 1 hours ago.
betabootstrapciconfidence-intervalsdata-reductioneasystatsfafeature-extractionfeature-reductionhacktoberfestparameterspcapvaluesregression-modelsrobust-statisticsstandardizestandardized-estimatesstatistical-models
455 stars 15.67 score 1.8k scripts 56 dependentseasystats
datawizard:Easy Data Wrangling and Statistical Transformations
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Maintained by Etienne Bacher. Last updated 5 days ago.
datadplyrhacktoberfestjanitormanipulationreshapetidyrwrangling
223 stars 14.77 score 436 scripts 120 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 28 days ago.
bayesianbayesian-correlationsbiserialcorcorrelationcorrelation-analysiscorrelationseasystatsgammagaussian-graphical-modelshacktoberfestmatrixmultilevel-correlationsoutlierspartialpartial-correlationsregressionrobustspearman
439 stars 14.23 score 672 scripts 10 dependentseasystats
modelbased:Estimation of Model-Based Predictions, Contrasts and Means
Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Maintained by Dominique Makowski. Last updated 1 hours ago.
contrast-analysiscontrastseasystatsestimateggplot2hacktoberfestmarginalmarginal-effectsmeanspredict
244 stars 12.44 score 315 scripts 4 dependents