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.
R package to discover mediators among many potential variables.
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.
The dessert package allows you to automatically generate methodological appendices for your research workflows.
R package for exploratory factor analysis with structured residuals.
Enhance a mice imputation workflow with visualizations for incomplete and/or imputed data.
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.
an R CRAN package for Multilevel Hidden Markov Models Using Bayesian Estimation.
The mice package implements a method to deal with missing data. The package creates multiple imputations (replacement values) for multivariate missing data.
R package to enrich sf data with geographic features from OpenStreetMaps.
R package for privacy-preserving regression using coordinate descent.
R package to perform sample size determination for Bayesian multilevel models via Monte Carlo simulation.
R package for structural equation modeling using Torch.