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RMixtComp (version 4.1.4)

Mixture Models with Heterogeneous and (Partially) Missing Data

Description

Mixture Composer (Biernacki (2015) ) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.

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Version

Install

install.packages('RMixtComp')

Monthly Downloads

271

Version

4.1.4

License

AGPL-3

Issues

10

Pull Requests

3

Stars

13

Forks

4

Maintainer

Quentin Grimonprez

Last Published

June 18th, 2023

Functions in RMixtComp (4.1.4)

prostate

Prostate Cancer Data
simData

Simulated Heterogeneous data
extractMixtCompObject

Extract a MixtComp object
titanic

Titanic data set
mixtCompLearn

Learn and predict using RMixtComp
slopeHeuristic

Slope heuristic
summary.MixtCompLearn

MixtCompLearn Object Summaries
plot.MixtCompLearn

Plot of a MixtCompLearn object
CanadianWeather

Canadian average annual weather cycle
RMixtComp-package

RMixtComp
plotCrit

Plot BIC and ICL
predict.MixtComp

Predict using RMixtComp
print.MixtCompLearn

Print Values