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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:a575c8b08a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
Exports:BMMdiagBMMmodelBMMposterioriBMMpriorsinitsFSJAGScallJAGScontrolJAGSrunpriorsFishpriorsRafterypriorsUncertainrandomPermutationSort
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Plot identifiability diagnostics for JAGSrun object | BMMdiag |
Creates bugs model. | BMMmodel print.JAGSmodel |
Plot aposteriori probabilities of data points | BMMposteriori |
Create a 'BMMpriors' object | BMMpriors |
Differences in heights between plants | darwin |
Fish length data | fish |
Create initial values | initsFS |
Call jags | JAGScall |
Control parameters for the sampling. | JAGScontrol |
MCMC sampling of Bayesian models | JAGSrun print.JAGSrun |
Plot a posteriori probabilities of data points | plot.BMMposteriori |
Plot JAGSrun object | plot.JAGSrun |
Create list of prior specifications | priorsFish priorsRaftery priorsUncertain |
Randomly permute segments for MCMC draws | randomPermutation |
Sort MCMC chains according to certain variables | Sort |