R packages

bain

R package that uses the Bayes factor and posterior model probabilities to evaluate informative hypotheses, that is, hypotheses that are specified using equality and order constraints among (combinations of) the parameters of the statistical model of interest.
https://cran.r-project.org/web//packages/bain/index.html

cmfilter

R package to discover mediators among many potential variables.
https://github.com/vankesteren/cmfilter

densityratio

The `densityratio`-package provides functionality to compare two groups of samples through direct estimation of the ratio of the (multivariate) densities of the two groups. The estimated density ratio can be used for many purposes, such as prediction, outlier detection, change-point detection in time-series, importance weighting under domain adaptation (i.e., sample selection bias) and evaluation of synthetic data utility.
https://github.com/thomvolker/densityratio

dessert

The dessert package allows you to automatically generate methodological appendices for your research workflows.
https://www.gerkovink.com/dessert/index.html

efast

R package for exploratory factor analysis with structured residuals.
https://github.com/vankesteren/efast

ggmice

Enhance a mice imputation workflow with visualizations for incomplete and/or imputed data.
https://amices.org/ggmice/

hystar

Estimate parameters of the hysteretic threshold autoregressive (HysTAR) model, using conditional least squares estimation. In addition, you can generate time series data from the HysTAR model.
https://daandejongen.github.io/hystar/.

mHMMbayes

an R CRAN package for Multilevel Hidden Markov Models Using Bayesian Estimation.
https://CRAN.R-project.org/package=mHMMbayes

mice

The mice package implements a method to deal with missing data. The package creates multiple imputations (replacement values) for multivariate missing data.
https://amices.org/mice/

osmenrich

R package to enrich sf data with geographic features from OpenStreetMaps.
https://github.com/sodascience/osmenrich

privreg

R package for privacy-preserving regression using coordinate descent.
https://github.com/vankesteren/privreg

SSD_Bayes_ML

R package to perform sample size determination for Bayesian multilevel models via Monte Carlo simulation.
https://github.com/ulrichlosener/SSD_Bayes_ML

tensorsem

R package for structural equation modeling using Torch.
https://github.com/vankesteren/tensorsem