Package: missMDA
Type: Package
Title: Handling Missing Values with Multivariate Data Analysis
Version: 1.18
Date: 2020-12-09
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>
Description: 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.
Depends: R (>= 3.3.0)
Imports: FactoMineR (>=
        2.3),ggplot2,graphics,grDevices,mice,mvtnorm,stats,utils,doParallel,parallel,foreach
Suggests: knitr, markdown
License: GPL (>= 2)
URL: http://factominer.free.fr/missMDA/index.html
Encoding: latin1
LazyLoad: yes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-09 13:52:16 UTC; husson
Repository: CRAN
Date/Publication: 2020-12-11 11:40:02 UTC
Built: R 4.0.5; ; 2022-04-21 15:58:39 UTC; windows
