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bayesmix  

Bayesian Mixture Models with JAGS
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesmix", "0.7-6")



Attach the package and use:
library("bayesmix")
Maintained by
Bettina Gruen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-05-19
Latest Update: 2023-04-12
Description:
Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.
How to cite:
Bettina Gruen (2004). bayesmix: Bayesian Mixture Models with JAGS. R package version 0.7-6, https://cran.r-project.org/web/packages/bayesmix. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.5-2 (2004-05-19 10:00), 0.5-3 (2005-02-16 13:56), 0.5-4 (2007-04-11 19:05), 0.6-0 (2008-05-20 11:38), 0.6-1 (2009-06-14 21:07), 0.7-0 (2010-02-05 11:06), 0.7-1 (2010-05-16 19:18), 0.7-2 (2011-10-17 07:54), 0.7-3 (2014-03-11 16:14), 0.7-4 (2015-07-01 14:59), 0.7-5 (2021-01-07 17:20)
Other packages that cited bayesmix R package
View bayesmix citation profile
Other R packages that bayesmix depends, imports, suggests or enhances
Complete documentation for bayesmix
Functions, R codes and Examples using the bayesmix R package
Some associated functions: BMMdiag . BMMmodel . BMMposteriori . BMMpriors . JAGScall . JAGScontrol . JAGSrun . Sort . darwin . fish . inits . plot.BMMposteriori . plot.JAGSrun . plot.jags . priors . randomPermutation . 
Some associated R codes: BMMmodel.R . BMMpriors.R . Inits.R . JAGScall.R . JAGSrun.R . Sort.R . plots.R . randomPermutation.R .  Full bayesmix package functions and examples
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