Friedman's H-statistics

Computational approach to identify Survival associated Pairwise Gene Expression states.

An R package for finding higher order interactions, and best subsets for statistical regression models.

R package using ICA based method for spatial transcriptomics analysis (Visium/Slide-seq/CosMX/MERSCOPE)

An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines

An R package to analyse miRNA-mRNA interactions from miRNA and mRNA expression data

Analysis of European Union Mail dataset to compute degree centrality, betweenness, interaction and visualization using the R-shiny app.

Non-linear trends and interactions in SEM for R

Moderated regression plot

A package for mediation, moderation, and bootstrapped indirect effects

sparse additive interaction learning

R implementation for the PROCESS macro

R package to implement nonlinear, interaction models with variable selection

A simple shiny app for examining interaction effects

Tools for summarizing/visualizing regressions, probing interactions, and more

Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates

Code for full subsets model fitting using GA(M)M

R package for probing interactions in linear regression

A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions. A spinoff from the `jtools` package.