Handling Missing Values with Multivariate Data Analysis
Estimate the number of dimensions for the Factorial Analysis of Mixed ...
Estimate the number of dimensions for the Multiple Correspondence Anal...
Estimate the number of dimensions for the Multilevel PCA, multlevel MC...
Estimate the number of dimensions for the Principal Component Analysis...
Impute contingency table
Impute mixed dataset
Impute categorical dataset
Impute dataset with variables structured into groups of variables (gro...
Impute a multilevel mixed dataset
Impute dataset with PCA
Multiple Imputation with FAMD
Multiple Imputation with MCA
Multiple Imputation with PCA
Handling missing values with/in multivariate data analysis (principal ...
Overimputation diagnostic plot
Plot the graphs for the Multiple Imputation in MCA
Plot the graphs for the Multiple Imputation in PCA
Converts a dataset imputed by MIMCA, MIPCA or MIFAMD into a mids objec...
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.