missMDA : Handling Missing Values with Multivariate Data Analysis

Package: missMDA
Type: Package
Title: Handling Missing Values with Multivariate Data Analysis
Version: 1.10
Date: 2016-03-25
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.
Depends: R (>= 3.2.0)
Imports: FactoMineR (>=
1.32), graphics, grDevices, mice, mvtnorm, stats, utils
License: GPL (>= 2)
URL: http://www.agrocampus-ouest.fr/math/husson
Encoding: latin1
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-03-25 13:42:45 UTC; husson
Repository: CRAN
Date/Publication: 2016-03-25 20:01:02