bayesmix

0.7-6

Bayesian Mixture Models with JAGS

2packages depend

5.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Bettina GruenFirst published 2004-05-1912 releasesCRAN page ↗

Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.

Install

R (CRAN)Ubuntu (r2u)openSUSE (OBS)

install.packages("bayesmix", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesmix

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bayesmix

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 57 s · r-oldrel-windows-x86_64

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation signals are not tracked yet for this package.

Downloads

5.5K

CRAN downloads in the past year

Rank #7,687 · ~15/day · ~460/mo

bayesmix Releases R versions

Daily download trend is not available in this view yet.

43130 days

1.4K90 days

5.5K1 year

Compare downloads with other packages →

Also on153 r2u28 autocran65 c2d4u

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (5)

graphicsstatsmethodsrjags coda

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

pivmet thamesmix

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Bettina Gruen

Author, Maintainer

Authors (1)

Bettina Gruen

Author, Maintainer

Contributors (1)

Martyn Plummer

Contributor · added in 0.7-3

Package Timeline

12 releases. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.7-6Latest
2023-04-12 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.7-5
2021-01-07 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
0.7-4
2015-07-01 · diff ↗
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10

Show 27 earlier events

0.7-3
2014-03-11 · diff ↗
R
R 3.0.0 released · 2013-04-03
R
R 2.15.0 released · 2012-03-30
R
R 2.14.0 released · 2011-10-31
0.7-2
2011-10-17 · diff ↗
R
R 2.13.0 released · 2011-04-13
R
R 2.12.0 released · 2010-10-15
0.7-1
2010-05-16 · diff ↗
R
R 2.11.0 released · 2010-04-22
0.7-0
2010-02-05 · diff ↗
R
R 2.10.0 released · 2009-10-26
0.6-1
2009-06-14 · diff ↗
R
R 2.9.0 released · 2009-04-17
R
R 2.8.0 released · 2008-10-20
0.6-0
2008-05-20 · diff ↗
R
R 2.7.0 released · 2008-04-22
R
R 2.6.0 released · 2007-10-03
R
R 2.5.0 released · 2007-04-24
0.5-4
2007-04-11 · diff ↗
R
R 2.4.0 released · 2006-10-03
R
R 2.3.0 released · 2006-04-24
R
R 2.2.0 released · 2005-10-06
R
R 2.1.0 released · 2005-04-18
0.5-3
2005-02-16 · diff ↗
R
R 2.0.0 released · 2004-10-04
0.5-2
2004-05-19
R
R 1.9.0 released · 2004-04-12

Package metadata

First published: 2004-05-19
Total releases: 12 / 22 yrs
License: GPL-2 | GPL-3 OSI
Download size: 16 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Cluster Analysis & Finite Mixture Models Graphical Models

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