missMDA: Handling missing values with/in multivariate data analysis (principal component methods)
Version 1.3

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

Getting started

Package details

AuthorFrancois Husson, Julie Josse
MaintainerFrancois Husson <[email protected]>, Julie Josse <[email protected]>
LicenseGPL (>= 2)
Version1.3
URL http://www.agrocampus-ouest.fr/math/husson http://www.agrocampus-ouest.fr/math/josse
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("missMDA", repos="http://R-Forge.R-project.org")

Try the missMDA package in your browser

Any scripts or data that you put into this service are public.

missMDA documentation built on May 31, 2017, 3:48 a.m.