missMDA: Handling missing values with/in multivariate data analysis (principal component methods)

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

AuthorFrancois Husson, Julie Josse
Date of publicationNone
MaintainerFrancois Husson <husson@agrocampus-ouest.fr>, Julie Josse <josse@agrocampus-ouest.fr>
LicenseGPL (>= 2)
Version1.3
http://www.agrocampus-ouest.fr/math/husson, http://www.agrocampus-ouest.fr/math/josse

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