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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://feiyoung.r-universe.dev
Date/Publication: 2025-11-28 11:13:21 UTC
RemoteUrl: https://github.com/feiyoung/multirfm
RemoteRef: HEAD
RemoteSha: 824fae135dc022b99c14191b02b3fa905c269fbc
NeedsCompilation: yes
Packaged: 2026-06-05 10:38:06 UTC; root