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.


missMDA

You can see the Website dedicated to missMDA (link for English version, and for the French version)

How do you install the latest version of missMDA available on GitHub?

if (!require("devtools")) install.packages("devtools")
library(devtools)
install_github("husson/missMDA")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("missMDA")

1.23 by Francois Husson, a month ago


http://factominer.free.fr/missMDA/index.html


Report a bug at https://github.com/husson/missMDA/issues


Browse source code at https://github.com/cran/missMDA


Authors: Francois Husson [aut, cre] (ORCID: , Julie Josse [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports FactoMineR, foreach, ggplot2, graphics, grDevices, mice, mvtnorm, stats, utils, doParallel, parallel

Suggests knitr, markdown


Imported by EvaluateCore, Factoshiny, GPAbin, NIMAA, OTrecod, geneticae, mimar, scov.

Depended on by imp4p.

Suggested by FactoMineR, clusterMI, slideimp.


See at CRAN