Package: MultiRFM
Type: Package
Title: High-Dimensional Multi-Study Robust Factor Model
Version: 1.1.0
Date: 2025-11-28
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "liuweideng@gmail.com"),
      person(given = "Xiaolu",
             family = "Jiang",
             role = c("aut")))
Author: Wei Liu [aut, cre],
  Xiaolu Jiang [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: 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>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: MASS, irlba, LaplacesDemon, mixtools, mvtnorm, Rcpp (>=
        1.0.8.3)
URL: https://github.com/feiyoung/MultiRFM
BugReports: https://github.com/feiyoung/MultiRFM/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-11-28 11:25:25 UTC; 10297
Repository: CRAN
Date/Publication: 2025-12-03 20:50:07 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-25 23:54:13 UTC; unix
Archs: MultiRFM.so.dSYM
