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RMixtComp  

Mixture Models with Heterogeneous and (Partially) Missing Data
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", "4.1.5")



Attach the package and use:
library("RMixtComp")
Maintained by
Quentin Grimonprez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-28
Latest Update: 2025-06-15
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 4.1.5, https://cran.r-project.org/web/packages/RMixtComp. Accessed 30 Jun. 2026.
Previous versions and publish date:
4.0.0 (2019-08-28 11:30), 4.0.1 (2019-09-05 04:10), 4.0.2 (2019-09-16 17:30), 4.1.0 (2020-01-07 23:50), 4.1.2 (2020-06-25 17:40), 4.1.3 (2021-03-29 17:12), 4.1.4 (2023-06-19 00:50)
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Complete documentation for RMixtComp
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