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 |
| DOI: |
10.32614/CRAN.package.missMDA |
| 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 |