Package: RMixtComp 4.1.4

Quentin Grimonprez

RMixtComp: Mixture Models with Heterogeneous and (Partially) Missing Data

Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) 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.

Authors:Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Serge Iovleff [ctb], Julien Vandaele [ctb]

RMixtComp_4.1.4.tar.gz
RMixtComp_4.1.4.zip(r-4.5)RMixtComp_4.1.4.zip(r-4.4)RMixtComp_4.1.4.zip(r-4.3)
RMixtComp_4.1.4.tgz(r-4.4-any)RMixtComp_4.1.4.tgz(r-4.3-any)
RMixtComp_4.1.4.tar.gz(r-4.5-noble)RMixtComp_4.1.4.tar.gz(r-4.4-noble)
RMixtComp_4.1.4.tgz(r-4.4-emscripten)RMixtComp_4.1.4.tgz(r-4.3-emscripten)
RMixtComp.pdf |RMixtComp.html✨
RMixtComp/json (API)
NEWS

# Install 'RMixtComp' in R:
install.packages('RMixtComp', repos = c('https://modal-inria.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/modal-inria/mixtcomp/issues

Datasets:

On CRAN:

clusteringcppheterogeneous-datamissing-datamixed-datamixture-modelstatistics

6.49 score 13 stars 12 scripts 281 downloads 5 exports 78 dependencies

Last updated 6 months agofrom:096093723b. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winNOTENov 11 2024
R-4.5-linuxNOTENov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:extractMixtCompObjectmixtCompLearnmixtCompPredictplotCritslopeHeuristic

Dependencies:askpassbase64encBHbslibcachemclicodetoolscolorspacecpp11crosstalkcurldata.tabledigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownRMixtCompIORMixtCompUtilitiessassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Data format used in RMixtComp

Quentin Grimonprez

Rendered fromdataFormat.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-06-17
Started: 2019-10-14

Overview of MixtComp Object

Quentin Grimonprez

Rendered frommixtCompObject.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-06-17
Started: 2019-10-14

Using ClusVis with RMixtComp Output for Visualization

Quentin Grimonprez

Rendered fromClusVis.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-06-17
Started: 2020-03-20

Using RMixtComp with mixed and missing data

Quentin Grimonprez

Rendered fromMixtComp.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-06-17
Started: 2020-03-20