CRAN

missMDA 1.14

Handling Missing Values with Multivariate Data Analysis

Released Jan 23, 2019 by Francois Husson

This package cannot yet be used with Renjin it depends on other packages which are not available: FactoMineR 1.41 and mice 3.3.0

Dependencies

FactoMineR 1.41 mice 3.3.0 mvtnorm 1.0-8 doParallel 1.0.14 foreach 1.4.4

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.