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vimixr  

Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("vimixr", "0.1.3")



Attach the package and use:
library("vimixr")
Maintained by
Annesh Pal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-12
Latest Update: 2026-01-12
Description:
Collapsed Variational Inference for a Dirichlet Process (DP) mixture model with unknown covariance matrix structure and DP concentration parameter. It enables efficient clustering of high-dimensional data with significantly improved computational speed than traditional MCMC methods. The package incorporates 8 parameterisations and corresponding prior choices for the unknown covariance matrix, from which the user can choose and apply accordingly.
How to cite:
Annesh Pal (2026). vimixr: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model. R package version 0.1.3, https://cran.r-project.org/web/packages/vimixr. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-09-09 11:30), 0.1.2 (2026-01-12 21:30)
Other packages that cited vimixr R package
View vimixr citation profile
Other R packages that vimixr depends, imports, suggests or enhances
Complete documentation for vimixr
Functions, R codes and Examples using the vimixr R package
Full vimixr package functions and examples
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