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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: | 1.19 |
| Depends: | R (≥ 4.0) |
| Imports: | FactoMineR (≥ 2.3), ggplot2, graphics, grDevices, mice, mvtnorm, stats, utils, doParallel, parallel, foreach |
| Suggests: | knitr, markdown |
| Published: | 2023-11-17 |
| Author: | Francois Husson, Julie Josse |
| Maintainer: | Francois Husson <francois.husson at institut-agro.fr> |
| 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 |
| Reference manual: | missMDA.pdf |
| Vignettes: |
MulitpleImputation missMDA |
| Package source: | missMDA_1.19.tar.gz |
| Windows binaries: | r-devel: missMDA_1.19.zip, r-release: missMDA_1.19.zip, r-oldrel: missMDA_1.19.zip |
| macOS binaries: | r-release (arm64): missMDA_1.19.tgz, r-oldrel (arm64): missMDA_1.19.tgz, r-release (x86_64): missMDA_1.19.tgz, r-oldrel (x86_64): missMDA_1.19.tgz |
| Old sources: | missMDA archive |
| Reverse depends: | imp4p |
| Reverse imports: | Factoshiny, geneticae, INSPIRE, missCompare, NADIA, NIMAA, OTrecod |
| Reverse suggests: | clusterMI, denoiseR, FactoMineR, padma |
Please use the canonical form https://CRAN.R-project.org/package=missMDA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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