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.