Skip to content

Some Multivariate Analyses using Structural Equation Modeling

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A set of functions for some multivariate analyses utilizing a structural equation modeling (SEM) approach through the 'OpenMx' package. These analyses include canonical correlation analysis (CANCORR), redundancy analysis (RDA), and multivariate principal component regression (MPCR). It implements procedures discussed in Gu and Cheung (2023) doi:10.1111/bmsp.12301, Gu, Yung, and Cheung (2019) doi:10.1080/00273171.2018.1512847, and Gu et al. (2023) doi:10.1080/00273171.2022.2141675.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.2
READMEYes · 48 wordsVignettesNoNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13 (1 internal)includes a package overview page
Examples that run
30%3 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
62%

Downloads

2.1K
CRAN downloads in the past year
Rank #23,392 · ~6/day · ~172/mo
Daily download trend is not available in this view yet.
19730 days
55390 days
2.1K1 year
Compare downloads with other packages →
Also on78 r2u1 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
1Releases
34Commits
1Commit identities
34 commits · Last activity 2026-02-16
Responsiveness
not measured

Stars over time

2024-02-18 · 12026-07-07 · 1
PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/mikewlcheung/mulsem on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing mulSEM adds 12 packages (10 with compiled code, 28 MB of source tarballs). Heaviest: BH 14 MB, OpenMx 3.7 MB, StanHeaders 2.5 MB.

Depends (2)
R >= 4.3.0OpenMx
Imports (1)
stats
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2024)
Contributor
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2Latest
    record
    2026-02-17 · current release · diff ↗ ·
    removed 1 export
    pattern:^[^\\.]
    added 3 exports
    cancorr, mpcr, rda
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0
    record
    2024-02-04
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-02-04
Total releases
2 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.3.0
Bundled data
7.9 KB / 6 files
Download size
28 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mulSEM")
Cheung, M., Gu, F., & Yung, Y. (2026). mulSEM: Some Multivariate Analyses using Structural Equation Modeling (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mulSEM

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 mulSEM version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, 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