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VICatMix  

Variational Mixture Models for Clustering Categorical Data
View on CRAN: Click here


Download and install VICatMix package within the R console
Install from CRAN:
install.packages("VICatMix")

Install from Github:
library("remotes")
install_github("cran/VICatMix")

Install by package version:
library("remotes")
install_version("VICatMix", "1.0")



Attach the package and use:
library("VICatMix")
Maintained by
Jackie Rao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-27
Latest Update: 2024-11-27
Description:
A variational Bayesian finite mixture model for the clustering of categorical data, and can implement variable selection and semi-supervised outcome guiding if desired. Incorporates an option to perform model averaging over multiple initialisations to reduce the effects of local optima and improve the automatic estimation of the true number of clusters. For further details, see the paper by Rao and Kirk (2024) <doi:10.48550/arXiv.2406.16227>.
How to cite:
Jackie Rao (2024). VICatMix: Variational Mixture Models for Clustering Categorical Data. R package version 1.0, https://cran.r-project.org/web/packages/VICatMix. Accessed 06 Jun. 2026.
Previous versions and publish date:
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Complete documentation for VICatMix
Functions, R codes and Examples using the VICatMix R package
Full VICatMix package functions and examples
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