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mifa

0.2.1

Multiple Imputation for Exploratory Factor Analysis

0packages depend
3Kdownloads / year
68.6%test coverage
13/13checks pass

Overview

About
Maintained by Tobias BuschFirst published 2021-01-222 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.40
68.6%
Coverage · measured lines
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 541 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
44%

Downloads

3K
CRAN downloads in the past year
Rank #15,888 · ~8/day · ~254/mo
Daily download trend is not available in this view yet.
15630 days
66490 days
3K1 year
Compare downloads with other packages →
Also on94 r2u15 autocran

Repository

Repository
2Stars
0Forks
5Open issues
0Open PRs
3Releases
65Commits
3Contributors
imputationrstatsfactor-analysis
65 commits · Last activity 2025-05-12

Stars over time

2023-01-10 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/teebusch/mifa on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Show all practices
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (4)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    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
    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
Installed size
not tracked yet
With dependencies
not tracked yet

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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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