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missMDA  

Handling Missing Values with Multivariate Data Analysis
View on CRAN: Click here


Download and install missMDA package within the R console
Install from CRAN:
install.packages("missMDA")

Install from Github:
library("remotes")
install_github("cran/missMDA")

Install by package version:
library("remotes")
install_version("missMDA", "1.20")



Attach the package and use:
library("missMDA")
Maintained by
Francois Husson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-05-10
Latest Update: 2025-07-23
Description:
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.
How to cite:
Francois Husson (2010). missMDA: Handling Missing Values with Multivariate Data Analysis. R package version 1.20, https://cran.r-project.org/web/packages/missMDA. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2010-05-10 21:27), 1.2 (2010-10-13 13:29), 1.5 (2012-08-03 10:14), 1.6 (2013-02-12 18:09), 1.7.1 (2013-05-23 15:53), 1.7.2 (2013-12-15 21:42), 1.7.3 (2014-11-24 10:34), 1.7 (2013-03-30 20:11), 1.8.2 (2015-07-01 14:59), 1.9 (2015-12-15 20:49), 1.10 (2016-03-25 20:01), 1.11 (2017-03-16 17:30), 1.12 (2018-05-04 15:01), 1.13 (2018-06-25 16:28), 1.14 (2019-01-23 11:50), 1.15 (2019-11-20 10:20), 1.16 (2020-01-17 12:10), 1.17 (2020-05-19 17:20), 1.18 (2020-12-11 12:40), 1.19 (2023-11-17 11:20), 1.20 (2025-07-23 17:10)
Other packages that cited missMDA R package
View missMDA citation profile
Other R packages that missMDA depends, imports, suggests or enhances
Complete documentation for missMDA
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