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missMDA: Handling Missing Values with Multivariate Data Analysis

Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.

Version:1.20
Depends:R (≥ 4.0)
Imports:FactoMineR (≥2.3),ggplot2, graphics, grDevices,mice,mvtnorm, stats, utils,doParallel, parallel,foreach
Suggests:knitr,markdown
Published:2025-07-23
DOI:10.32614/CRAN.package.missMDA
Author:Francois HussonORCID iD [aut, cre], Julie Josse [aut]
Maintainer:Francois Husson <francois.husson at institut-agro.fr>
BugReports:https://github.com/husson/missMDA/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:http://factominer.free.fr/missMDA/index.html
NeedsCompilation:no
Citation:missMDA citation info
Materials:README
In views:MissingData,Psychometrics
CRAN checks:missMDA results

Documentation:

Reference manual:missMDA.html ,missMDA.pdf
Vignettes:MulitpleImputation (source)
missMDA (source)

Downloads:

Package source: missMDA_1.20.tar.gz
Windows binaries: r-devel:missMDA_1.20.zip, r-release:missMDA_1.20.zip, r-oldrel:missMDA_1.20.zip
macOS binaries: r-release (arm64):missMDA_1.20.tgz, r-oldrel (arm64):missMDA_1.20.tgz, r-release (x86_64):missMDA_1.20.tgz, r-oldrel (x86_64):missMDA_1.20.tgz
Old sources: missMDA archive

Reverse dependencies:

Reverse depends:imp4p
Reverse imports:Factoshiny,geneticae,GPAbin,missCompare,NIMAA,OTrecod,scov
Reverse suggests:clusterMI,FactoMineR,padma

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=missMDAto link to this page.


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