Package: bayesmix 0.7-6

Bettina Gruen

bayesmix: Bayesian Mixture Models with JAGS

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

Authors:Bettina Gruen [aut, cre], Martyn Plummer [ctb]

bayesmix_0.7-6.tar.gz
bayesmix_0.7-6.tar.gz(r-4.5-noble)bayesmix_0.7-6.tar.gz(r-4.4-noble)
bayesmix_0.7-6.tgz(r-4.4-emscripten)bayesmix_0.7-6.tgz(r-4.3-emscripten)
bayesmix.pdf |bayesmix.html
bayesmix/json (API)
NEWS

# Install 'bayesmix' in R:
install.packages('bayesmix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • darwin - Differences in heights between plants
  • fish - Fish length data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

13 exports 0.36 score 3 dependencies 1 dependents 41 scripts 552 downloads

Last updated 1 years agofrom:a575c8b08a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linuxOKAug 22 2024

Exports:BMMdiagBMMmodelBMMposterioriBMMpriorsinitsFSJAGScallJAGScontrolJAGSrunpriorsFishpriorsRafterypriorsUncertainrandomPermutationSort

Dependencies:codalatticerjags