Friedman's H-statistics
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Updated
Oct 11, 2024 - R
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.
A package for mediation, moderation, and bootstrapped indirect effects
R package to implement nonlinear, interaction models with variable selection
A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions. A spinoff from the `jtools` package.
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
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