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 (may not be active yet) |
| 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 |
| Reference manual: | MultiEFM.html , MultiEFM.pdf |
| Vignettes: |
High Dimensional Example of MultiEFM (source, R code) Low Dimensional Example of MultiEFM (source, R code) |
| Package source: | MultiEFM_0.1.3.tar.gz |
| Windows binaries: | r-devel: MultiEFM_0.1.3.zip, r-release: not available, r-oldrel: not available |
| 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 |
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