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missMDA

Handling Missing Values with Multivariate Data Analysis

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.

Versions across snapshots

VersionRepositoryFileSize
1.21 rolling linux/jammy R-4.5 missMDA_1.21.tar.gz 430.4 KiB
1.21 rolling linux/noble R-4.5 missMDA_1.21.tar.gz 430.7 KiB
1.21 rolling source/ R- missMDA_1.21.tar.gz 212.7 KiB
1.21 latest linux/jammy R-4.5 missMDA_1.21.tar.gz 430.4 KiB
1.21 latest linux/noble R-4.5 missMDA_1.21.tar.gz 430.7 KiB
1.21 latest source/ R- missMDA_1.21.tar.gz 212.7 KiB
1.21 2026-04-26 source/ R- missMDA_1.21.tar.gz 212.7 KiB
1.21 2026-04-23 source/ R- missMDA_1.21.tar.gz 212.7 KiB
1.21 2026-04-09 windows/windows R-4.5 missMDA_1.21.zip 437.0 KiB
1.19 2025-04-20 source/ R- missMDA_1.19.tar.gz 207.6 KiB

Dependencies (latest)

Imports

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