missMDA (1.16)

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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.

Maintainer: Francois Husson
Author(s): Francois Husson, Julie Josse

License: GPL (>= 2)

Uses: doParallel, FactoMineR, foreach, mice, mvtnorm, knitr
Reverse depends: ClustOfVar
Reverse suggests: CorReg, denoiseR, FactoMineR

Released 2 months ago.

16 previous versions



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