Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE11 OK, 1 NOTE2026-08-01
- OK7 OK2026-07-29
Documentation
- Help pages
- 3
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 33%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/rruihan-zhang/multiefm on 2026-10-25.
Dependencies
Installing MultiEFM adds 4 packages (4 with compiled code, 4.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, mvtnorm 1.0 MB.
Code & Tests
People & History
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- 0.1.4Latest
- 0.1.32026-07-28
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-28
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 23 KB
Cite
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