missMDA: Handling Missing Values with Multivariate Data Analysis

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.

AuthorFrancois Husson, Julie Josse
Date of publication2017-03-16 16:30:14 UTC
MaintainerFrancois Husson <husson@agrocampus-ouest.fr>
LicenseGPL (>= 2)
Version1.11
http://www.agrocampus-ouest.fr/math/husson
http://juliejosse.com/

View on CRAN

Functions

estim_ncpFAMD Man page
estim_ncpMCA Man page
estim_ncpPCA Man page
gene Man page
geno Man page
imputeCA Man page
imputeFAMD Man page
imputeMCA Man page
imputeMFA Man page
imputePCA Man page
MIMCA Man page
MIPCA Man page
missMDA Man page
missMDA-package Man page
orange Man page
Overimpute Man page
ozone Man page
plot.MIMCA Man page
plot.MIPCA Man page
prelim Man page
snorena Man page
TitanicNA Man page
vnf Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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