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Multiple Imputation for Exploratory Factor Analysis

0packages depend
2.8Kdownloads / year
68.6%test coverage
13/13flavors OK

Overview

About

Impute the covariance matrix of incomplete data so that factor analysis can be performed. Imputations are made using multiple imputation by Multivariate Imputation with Chained Equations (MICE) and combined with Rubin's rules. Parametric Fieller confidence intervals and nonparametric bootstrap confidence intervals can be obtained for the variance explained by different numbers of principal components. The method is described in Nassiri et al. (2018) doi:10.3758/s13428-017-1013-4.

Changes in 0.2.1
  • Update cross-references to mice package in documentation to comply with new CRAN checks
  • Update example code and links in README
  • Remove unnecessary "LazyData" key from DESCRIPTION to remove CRAN check Note

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMEYes · 541 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.1Citation fileNo
Help pages
9 (6 internal)
Examples that run
0%3 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
44%

Downloads

2.8K
CRAN downloads in the past year
Rank #17,265 · ~8/day · ~235/mo
Daily download trend is not available in this view yet.
26530 days
74390 days
2.8K1 year
Compare downloads with other packages →
Also on65 r2u6 autocran

Repository

2Stars
0Forks
5Open issues
0Open PRs
3Releases
65Commits
3Commit identities
imputationrstatsfactor-analysis
65 commits · Last activity 2025-05-10 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2023-01-10 · 22026-07-07 · 2
PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/teebusch/mifa on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-05-12 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting (Codecov)
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing mifa adds 54 packages (32 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, lme4 4.3 MB, glmnet 2.7 MB.

Depends (0)
none
Imports (4)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (5)
Author, Maintainer since 0.2.0 (2021)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    record
    2025-05-10 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2.0
    record
    2021-01-22
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-01-22
Total releases
2 / 5 yrs
License
MIT + file LICENSE OSI
Download size
137 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mifa")
Busch, T., Lovik, A., Molenberghs, G., Nassiri, V., & Verbeke, G. (2025). mifa: Multiple Imputation for Exploratory Factor Analysis (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mifa

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 mifa version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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