Last data update: 2014.03.03
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missMDA
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
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'missMDA' ...
** package 'missMDA' successfully unpacked and MD5 sums checked
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'missMDA'
finding HTML links ... done
MIMCA html
finding level-2 HTML links ... done
MIPCA html
Overimpute html
TitanicNA html
estim_ncpFAMD html
estim_ncpMCA html
estim_ncpPCA html
gene html
geno html
imputeFAMD html
imputeMCA html
imputeMFA html
imputePCA html
missMDA-package html
orange html
ozone html
plot.MIPCA html
prelim html
snorena html
vnf html
** building package indices
** testing if installed package can be loaded
* DONE (missMDA)
Making 'packages.html' ... done
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