missMDA: Handling Missing Values with Multivariate Data Analysis
Version 1.11

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.

AuthorFrancois Husson, Julie Josse
Date of publication2017-03-16 16:30:14 UTC
MaintainerFrancois Husson <husson@agrocampus-ouest.fr>
LicenseGPL (>= 2)
Version1.11
URL http://www.agrocampus-ouest.fr/math/husson http://juliejosse.com/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("missMDA")

Getting started

Package overview

Popular man pages

estim_ncpFAMD: Estimate the number of dimensions for the Factorial Analysis...
estim_ncpMCA: Estimate the number of dimensions for the Multiple...
estim_ncpPCA: Estimate the number of dimensions for the Principal Component...
imputeCA: Impute contingency table
imputeFAMD: Impute mixed dataset
MIMCA: Multiple Imputation with MCA
TitanicNA: Categorical data set with missing values: Survival of...
See all...

All man pages Function index File listing

Man pages

estim_ncpFAMD: Estimate the number of dimensions for the Factorial Analysis...
estim_ncpMCA: Estimate the number of dimensions for the Multiple...
estim_ncpPCA: Estimate the number of dimensions for the Principal Component...
gene: Gene expression
geno: Genotype-environment data set with missing values
imputeCA: Impute contingency table
imputeFAMD: Impute mixed dataset
imputeMCA: Impute categorical dataset
imputeMFA: Impute dataset with variables structured into groups of...
imputePCA: Impute dataset with PCA
MIMCA: Multiple Imputation with MCA
MIPCA: Multiple Imputation with PCA
missMDA-package: Handling missing values with/in multivariate data analysis...
orange: Sensory description of 12 orange juices by 8 attributes.
Overimpute: Overimputation diagnostic plot
ozone: Daily measurements of meteorological variables and ozone...
plot.MIMCA: Plot the graphs for the Multiple Imputation in MCA
plot.MIPCA: Plot the graphs for the Multiple Imputation in PCA
prelim: Converts a dataset imputed by MIMCA or MIPCA into a mids...
snorena: Characterization of people who snore
TitanicNA: Categorical data set with missing values: Survival of...
vnf: Questionnaire done by 1232 individuals who answered 14...

Functions

MIMCA Man page Source code
MIPCA Man page Source code
Overimpute Man page Source code
TitanicNA Man page
estim_ncpFAMD Man page Source code
estim_ncpMCA Man page Source code
estim_ncpPCA Man page Source code
gene Man page
geno Man page
imputeCA Man page Source code
imputeFAMD Man page Source code
imputeMCA Man page Source code
imputeMFA Man page Source code
imputePCA Man page Source code
missMDA Man page
missMDA-package Man page
orange Man page
ozone Man page
plot.MIMCA Man page Source code
plot.MIPCA Man page Source code
prelim Man page Source code
snorena Man page
vnf Man page

Files

inst
inst/CITATION
NAMESPACE
data
data/snorena.rda
data/ozone.rda
data/orange.rda
data/gene.rda
data/TitanicNA.rda
data/vnf.rda
data/geno.rda
R
R/Overimpute.R
R/imputeCA.r
R/prelim.R
R/imputePCA.R
R/plot.MIPCA.R
R/plot.MIMCA.R
R/estim_ncpFAMD.R
R/imputeMCA.R
R/MIMCA.R
R/estim_ncpMCA.R
R/imputeFAMD.R
R/imputeMFA.R
R/MIPCA.R
R/estim_ncpPCA.R
MD5
DESCRIPTION
man
man/imputePCA.Rd
man/imputeMFA.Rd
man/estim_ncpPCA.Rd
man/gene.Rd
man/snorena.Rd
man/plot.MIPCA.Rd
man/plot.MIMCA.Rd
man/orange.Rd
man/TitanicNA.Rd
man/ozone.Rd
man/missMDA-package.Rd
man/imputeCA.Rd
man/imputeFAMD.Rd
man/MIPCA.Rd
man/prelim.Rd
man/Overimpute.Rd
man/vnf.Rd
man/geno.Rd
man/estim_ncpFAMD.Rd
man/estim_ncpMCA.Rd
man/imputeMCA.Rd
man/MIMCA.Rd
missMDA documentation built on May 19, 2017, 6:24 p.m.

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