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: | 1.17 |
| Depends: | R (≥ 3.3.0) |
| Imports: | FactoMineR (≥ 2.3), ggplot2, graphics, grDevices, mice, mvtnorm, stats, utils, doParallel, parallel, foreach |
| Suggests: | knitr |
| Published: | 2020-05-19 |
| Author: | Francois Husson, Julie Josse |
| Maintainer: | Francois Husson <husson at agrocampus-ouest.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, OfficialStatistics, Psychometrics |
| CRAN checks: | missMDA results |
| Reference manual: | missMDA.pdf |
| Vignettes: |
MulitpleImputation missMDA |
| Package source: | missMDA_1.17.tar.gz |
| Windows binaries: | r-devel: missMDA_1.17.zip, r-release: missMDA_1.17.zip, r-oldrel: missMDA_1.17.zip |
| macOS binaries: | r-release: missMDA_1.17.tgz, r-oldrel: missMDA_1.17.tgz |
| Old sources: | missMDA archive |
| Reverse depends: | imp4p |
| Reverse imports: | Factoshiny, INSPIRE, smartdata |
| Reverse suggests: | denoiseR, FactoMineR |
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