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RMixtComp
View on CRAN: Click
here
Download and install RMixtComp package within the R console
Install from CRAN:
install.packages("RMixtComp")
Install from Github:
library("remotes")
install_github("cran/RMixtComp")
Install by package version:
library("remotes")
install_version("RMixtComp", "4.1.4")
Attach the package and use:
library("RMixtComp")
Maintained by
Quentin Grimonprez
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-28
Latest Update: 2023-06-18
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.
How to cite:
Quentin Grimonprez (2019). RMixtComp: Mixture Models with Heterogeneous and (Partially) Missing Data. R package version 4.1.4, https://cran.r-project.org/web/packages/RMixtComp. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that RMixtComp depends,
imports, suggests or enhances
Complete documentation for RMixtComp
Functions, R codes and Examples using
the RMixtComp R package
Some associated functions: CanadianWeather . RMixtComp-package . extractMixtCompObject . mixtCompLearn . plot.MixtCompLearn . plotCrit . predict.MixtComp . print.MixtCompLearn . prostate . simData . slopeHeuristic . summary.MixtCompLearn . titanic .
Some associated R codes: MIXTCOMP_datasets.R . MIXTCOMP_formatData.R . MIXTCOMP_hierarchical.R . MIXTCOMP_methods.R . MIXTCOMP_mixtCompLearn.R . PLOT_plotCrit.R . RMixtComp-package.R . miscellaneous.R . slopeHeuristic.R . Full RMixtComp package functions and examples
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