High-Dimensional Multi-Study Robust Factor Model R package MultiRFM version 1.1.0 We introduce a high-dimensional multi-study robust factor model, which learns latent features and accounts for the heterogeneity among source. It could be used for analyzing heterogeneous RNA sequencing data. More details can be referred to Jiang et al. (2025) <doi:10.48550/arXiv.2506.18478>. Software Depends: R (>= 3.5.0) Imports: MASS, irlba, LaplacesDemon, mixtools, mvtnorm, Rcpp (>= 1.0.8.3) LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Wei Liu <liuweideng@gmail.com> Comprehensive R Archive Network (CRAN) Wei Liu [aut, cre], Xiaolu Jiang [aut] GPL-3 2025-12-03 application/tgz https://CRAN.R-project.org/package=MultiRFM doi:10.32614/CRAN.package.MultiRFM