CRAN/E | missMDA

missMDA

Handling Missing Values with Multivariate Data Analysis

Installation

About

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.

Citation missMDA citation info
factominer.free.fr/missMDA/index.html

Key Metrics

Version 1.19
R ≥ 4.0
Published 2023-11-17 132 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks missMDA results

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Maintainer

Maintainer

Francois Husson

francois.husson@institut-agro.fr

Authors

Francois Husson
Julie Josse

Material

README
Reference manual
Package source

In Views

MissingData
Psychometrics

Vignettes

MulitpleImputation
missMDA

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

missMDA archive

Depends

R ≥ 4.0

Imports

FactoMineR ≥2.3
ggplot2
graphics
grDevices
mice
mvtnorm
stats
utils
doParallel
parallel
foreach

Suggests

knitr
markdown

Reverse Depends

imp4p

Reverse Imports

Factoshiny
geneticae
INSPIRE
missCompare
NADIA
NIMAA
OTrecod

Reverse Suggests

denoiseR
FactoMineR
padma