Learn R Programming

⚠️There's a newer version (1.21) of this package.Take me there.

missMDA

You can see the Website dedicated to missMDA (link for English version, and for the French version)

How do you install the latest version of missMDA available on GitHub?

if (!require("devtools")) install.packages("devtools")
library(devtools)
install_github("husson/missMDA")

Copy Link

Version

Install

install.packages('missMDA')

Monthly Downloads

19,420

Version

1.18

License

GPL (>= 2)

Maintainer

Francois Husson Julie Josse josseagrocampusouestfr

Last Published

December 11th, 2020

Functions in missMDA (1.18)

Overimpute

Overimputation diagnostic plot
estim_ncpPCA

Estimate the number of dimensions for the Principal Component Analysis by cross-validation
MIFAMD

Multiple Imputation with FAMD
gene

Gene expression
estim_ncpMultilevel

Estimate the number of dimensions for the Multilevel PCA, multlevel MCA or Multilevel FAMD by cross-validation
estim_ncpMCA

Estimate the number of dimensions for the Multiple Correspondence Analysis by cross-validation
TitanicNA

Categorical data set with missing values: Survival of passengers on the Titanic
MIPCA

Multiple Imputation with PCA
MIMCA

Multiple Imputation with MCA
estim_ncpFAMD

Estimate the number of dimensions for the Factorial Analysis of Mixed Data by cross-validation
prelim

Converts a dataset imputed by MIMCA, MIPCA or MIFAMD into a mids object
imputeFAMD

Impute mixed dataset
orange

Sensory description of 12 orange juices by 8 attributes.
imputeMFA

Impute dataset with variables structured into groups of variables (groups of continuous or categorical variables)
imputeMCA

Impute categorical dataset
imputeCA

Impute contingency table
geno

Genotype-environment data set with missing values
ozone

Daily measurements of meteorological variables and ozone concentration
vnf

Questionnaire done by 1232 individuals who answered 14 questions
snorena

Characterization of people who snore
plot.MIMCA

Plot the graphs for the Multiple Imputation in MCA
missMDA-package

Handling missing values with/in multivariate data analysis (principal component methods)
plot.MIPCA

Plot the graphs for the Multiple Imputation in PCA
imputePCA

Impute dataset with PCA
imputeMultilevel

Impute a multilevel mixed dataset