Package: MultiEFM
Type: Package
Title: Robust Estimation for Multi-Study Elliptical Factor Model
Version: 0.1.2
Date: 2026-04-20
Authors@R: 
    c(person(given = "Ruihan",
             family = "Zhang",
             role = c("aut", "cre"),
             email = "ruihanzhang6166@gmail.com"),
      person(given = "Wei",
             family = "Liu",
             role = "aut",
             email = "liuweideng@gmail.com"))
Description: We introduce a high-dimensional multi-study elliptical
        factor model (MultiEFM), which learns latent features and
        accounts for the heterogeneity among sources. It provides
        robust estimation for heterogeneous high-dimensional data
        analysis, particularly suitable for multi-study RNA sequencing
        data and spatial multi-omics. The package implements efficient
        algorithms for model configuration, identifiability conditions,
        and parameter estimation.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: MASS, irlba, mvtnorm, Rcpp (>= 1.0.8.3), stats
URL: https://RRuihan-Zhang.github.io/MultiEFM/
BugReports: https://github.com/RRuihan-Zhang/MultiEFM/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Suggests: cowplot, ggplot2, knitr, rmarkdown, VIMSFA
Repository: https://rruihan-zhang.r-universe.dev
Date/Publication: 2026-05-07 03:33:57 UTC
RemoteUrl: https://github.com/rruihan-zhang/multiefm
RemoteRef: HEAD
RemoteSha: 733fafad2c9cc55e428d7f36ffd39da7d792cbc4
NeedsCompilation: yes
Packaged: 2026-09-27 08:54:28 UTC; root
Author: Ruihan Zhang [aut, cre],
  Wei Liu [aut]
Maintainer: Ruihan Zhang <ruihanzhang6166@gmail.com>