Learn R Programming

⚠️There's a newer version (1.19) 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

5,192

Version

1.17

License

GPL (>= 2)

Maintainer

Francois Husson Julie Josse josseagrocampusouestfr

Last Published

May 19th, 2020

Functions in missMDA (1.17)

estim_ncpMCA

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

Sensory description of 12 orange juices by 8 attributes.
imputePCA

Impute dataset with PCA
snorena

Characterization of people who snore
ozone

Daily measurements of meteorological variables and ozone concentration
prelim

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

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

Gene expression
imputeMCA

Impute categorical dataset
TitanicNA

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

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

Handling missing values with/in multivariate data analysis (principal component methods)
Overimpute

Overimputation diagnostic plot
estim_ncpPCA

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

Multiple Imputation with PCA
imputeFAMD

Impute mixed dataset
plot.MIMCA

Plot the graphs for the Multiple Imputation in MCA
vnf

Questionnaire done by 1232 individuals who answered 14 questions
plot.MIPCA

Plot the graphs for the Multiple Imputation in PCA
geno

Genotype-environment data set with missing values
MIMCA

Multiple Imputation with MCA
MIFAMD

Multiple Imputation with FAMD
imputeCA

Impute contingency table
imputeMFA

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

Impute a multilevel mixed dataset