CRAN/E | RMixtComp

RMixtComp

Mixture Models with Heterogeneous and (Partially) Missing Data

Installation

About

Mixture Composer is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes 8 models for real, categorical, counting, functional and ranking data.

github.com/modal-inria/MixtComp
Copyright Inria - Université de Lille - CNRS
Bug report File report

Key Metrics

Version 4.1.3
R ≥ 2.10
Published 2021-03-29 1127 days ago
Needs compilation? no
License AGPL-3
CRAN checks RMixtComp results

Downloads

Yesterday 9 +13%
Last 7 days 82 +11%
Last 30 days 263 -1%
Last 90 days 803 -24%
Last 365 days 3.678 +18%

Maintainer

Maintainer

Julien Vandaele

julien.vandaele@inria.fr

Authors

Vincent Kubicki

aut

Christophe Biernacki

aut

Quentin Grimonprez

aut

Matthieu Marbac-Lourdelle

ctb

Étienne Goffinet

ctb

Serge Iovleff

ctb

Julien Vandaele

ctb / cre

Material

NEWS
Reference manual
Package source

In Views

MissingData

Vignettes

Using ClusVis with RMixtComp Output for Visualization
Using RMixtComp with mixed and missing data
Data Format
MixtComp Object

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RMixtComp archive

Depends

R ≥ 2.10
RMixtCompUtilities ≥ 4.1.4

Imports

RMixtCompIO ≥ 4.0.4
ggplot2
plotly
scales

Suggests

testthat
xml2
Rmixmod
blockcluster
knitr
ClusVis
rmarkdown