missMDA-package: Handling missing values with/in multivariate data analysis (principal component methods)
Description
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 PCADetails
ll{
Package: missMDA
Type: Package
Version: 1.7.3
Date: 2014-11-26
License: GPL
LazyLoad: yes
}References
Josse, J. & Husson, F. (2012). Handling missing values in exploratory multivariate data analysis methods. Journal de la SFdS, 153(2), pp. 79-99.
Some videos: https://www.youtube.com/playlist?list=PLnZgp6epRBbQzxFnQrcxg09kRt-PA66T_