Skip to content

MultiEFM

0.1.4Package record

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

0packages depend
834downloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE11 OK, 1 NOTE2026-08-01
  • OK7 OK2026-07-29
Advisories

none known

Documentation

In release 0.1.4
READMENoVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
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

834
CRAN downloads in the past year
Rank #14,462 · ~2/day · ~70/mo
Daily download trend is not available in this view yet.
18330 days
83490 days
8341 year
Compare downloads with other packages →
Also on39 r2u2 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-05-07 · The default branch showed an older version (0.1.2) than CRAN on 2026-10-25
Responsiveness
not measured
PracticesBeta

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.

Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-06-07

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.5.0
Imports (5)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.3 (2026)
Author
Releases (2)

Pick two releases to compare their code metrics.

  • 0.1.4Latest
    record
    2026-08-04 · current release · diff ↗
  • 0.1.3
    record
    2026-07-28
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("MultiEFM")
Zhang, R., & Liu, W. (2026). MultiEFM: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.MultiEFM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MultiEFM version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy