swMATH ID: 8142
Software Authors: Francois Husson, Julie Josse
Description: R package missMDA: Handling missing values with/in multivariate data analysis (principal component methods). 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
Homepage: http://cran.r-project.org/web/packages/missMDA/index.html
Source Code:  https://github.com/cran/missMDA
Dependencies: R
Related Software: R; MICE; missForest; Amelia; VIM; softImpute; mi; imputeTS; ElemStatLearn; Hmisc; FactoMineR; ade4; jomo; visdat; Scikit; norm; simputation; ggplot2; naniar; pcaMethods
Cited in: 21 Documents

Standard Articles

1 Publication describing the Software Year
missMDA: A Package for Handling Missing Values in Multivariate Data Analysis Link
Julie Josse; François Husson

Citations by Year