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-4.7-any)bayesmix_0.7-6.tar.gz(r-4.6-any)
bayesmix_0.7-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bayesmix/json (API)
| # 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 from:a575c8b08a. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 106 | ||
| source / vignettes | OK | 153 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 97 |
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 |