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.


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install.packages("missMDA")

1.17 by Francois Husson, 4 months ago


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


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


Authors: Francois Husson , Julie Josse


Documentation:   PDF Manual  


Task views: Official Statistics & Survey Methodology, Psychometric Models and Methods, Missing Data


GPL (>= 2) license


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

Suggests knitr


Imported by Factoshiny, INSPIRE, smartdata.

Depended on by imp4p.

Suggested by FactoMineR, denoiseR.


See at CRAN