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.


Reference manual

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1.18 by Francois Husson, 8 months ago


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, markdown

Imported by Factoshiny, INSPIRE, NADIA, OTrecod, missCompare.

Depended on by imp4p.

Suggested by FactoMineR, denoiseR.

See at CRAN