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missMDA: Handling missing values with/in multivariate data analysis (principal component methods)
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
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Package details |
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| Author | Francois Husson, Julie Josse |
| Maintainer | Francois Husson <husson@agrocampus-ouest.fr>, Julie Josse <josse@agrocampus-ouest.fr> |
| License | GPL (>= 2) |
| Version | 1.3 |
| URL | http://www.agrocampus-ouest.fr/math/husson http://www.agrocampus-ouest.fr/math/josse |
| Package repository | View on R-Forge |
| Installation |
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