MultiEFM: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics

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.

Version:	0.1.3
Depends:	R (≥ 3.5.0)
Imports:	MASS, irlba, mvtnorm, Rcpp (≥ 1.0.8.3), stats
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	cowplot, ggplot2, knitr, rmarkdown
Published:	2026-07-28
DOI:	10.32614/CRAN.package.MultiEFM
Author:	Ruihan Zhang [aut, cre], Wei Liu [aut]
Maintainer:	Ruihan Zhang <ruihanzhang6166 at gmail.com>
BugReports:	https://github.com/RRuihan-Zhang/MultiEFM/issues
License:	GPL-3
URL:	https://RRuihan-Zhang.github.io/MultiEFM/
NeedsCompilation:	yes
CRAN checks:	MultiEFM results

Documentation:

Reference manual:	MultiEFM.html , MultiEFM.pdf
Vignettes:	High Dimensional Example of MultiEFM (source, R code) Low Dimensional Example of MultiEFM (source, R code)

Downloads:

Package source:	MultiEFM_0.1.3.tar.gz
Windows binaries:	r-devel: MultiEFM_0.1.3.zip, r-release: MultiEFM_0.1.3.zip, r-oldrel: MultiEFM_0.1.3.zip
macOS binaries:	r-release (arm64): MultiEFM_0.1.3.tgz, r-oldrel (arm64): MultiEFM_0.1.3.tgz, r-release (x86_64): MultiEFM_0.1.3.tgz, r-oldrel (x86_64): MultiEFM_0.1.3.tgz

Linking:

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