Package: MultiEFM
Type: Package
Title: Robust Estimation for Multi-Study High-Dimensional Elliptical
        Factor Analytics
Version: 0.1.4
Date: 2026-08-03
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 multi-study high-dimensional factor
        analysis toolbox 'MultiEFM' based on the elliptical factor
        model framework, which learns latent heterogeneous features and
        accounts for cross-study variation among sources. It provides
        robust estimation algorithms for heterogeneous datasets,
        particularly tailored for multi-study RNA sequencing arrays and
        complex spatial multi-omics layers. The package implements
        highly efficient initialization strategies, identifiability
        constraints alignment, and computationally scalable parameter
        estimation paradigms.
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
Suggests: cowplot, ggplot2, knitr, rmarkdown
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-10-18 10:52:21 UTC; root
Author: Ruihan Zhang [aut, cre], Wei Liu [aut]
Maintainer: Ruihan Zhang <ruihanzhang6166@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-08-04 14:56:58 UTC
RemoteUrl: https://github.com/cran/MultiEFM
RemoteRef: HEAD
RemoteSha: abc72c6f6304b511ede81deffc82eba9c90ab3e5