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 Husson [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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=missMDA to link to this page.
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