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Handling missing values with/in multivariate data analysis (principal component methods)
Francois Husson, Julie Josse
GPL (>= 2)
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
Package Version Released
missMDA 1.7.1 47 weeks 2 days ago
missMDA 1.7 1 year 2 weeks ago
missMDA 1.6 1 year 9 weeks ago
missMDA 1.5 1 year 37 weeks ago
missMDA 1.2 3 years 27 weeks ago
missMDA 1.0 3 years 49 weeks ago
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