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

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Documentation for package ‘missMDA’ version 1.7

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estim_ncpMCA Estimate the number of dimensions for the Multiple Correspondence Analysis by cross-validation
estim_ncpPCA Estimate the number of dimensions for the Principal Component Analysis by cross-validation
imputeFAMD Impute mixed dataset
imputeMCA Impute categorical dataset
imputeMFA Impute dataset with variables structured into groups of variables (groups of continuous or categorical variables)
imputePCA Impute dataset with PCA
MIPCA Multiple Imputation with PCA
orange Sensory description of 12 orange juices by 8 attributes.
ozone Daily measurements of meteorological variables and ozone concentration
plot.MIPCA Plot the graphs for the Multiple Imputation in PCA
vnf Questionnaire done by 1232 individuals who answered 14 questions