tabfound: Tabular Foundation Models in R
Runs pretrained tabular foundation models (TabPFN, TabICL, TabFM, Mitra) in pure R torch, with no Python needed to fit or predict.
R Package
RGAN: Generative Adversarial Networks in R
R package for training Generative Adversarial Networks, available on CRAN with 10,000+ downloads.
MIBench: Multiple Imputation Benchmark
First standardized benchmark for evaluating multiple imputation algorithms across diverse scenarios.
partyscape: Diversity Profiles for Party Systems
Diversity profiles, profile crossings and beta diversity for party-system research.
An Introduction to Generative Adversarial Nets in R: The RGAN Package
Introduces GANs to R users and presents the RGAN package, which runs on torch and makes GAN design choices easy to vary.