Package: rjags 4-16
rjags: Bayesian Graphical Models using MCMC
Interface to the JAGS MCMC library.
Authors:
rjags_4-16.tar.gz
rjags_4-16.zip(r-4.5)rjags_4-16.zip(r-4.4)rjags_4-16.zip(r-4.3)
rjags_4-16.tgz(r-4.4-x86_64)rjags_4-16.tgz(r-4.4-arm64)rjags_4-16.tgz(r-4.3-x86_64)rjags_4-16.tgz(r-4.3-arm64)
rjags_4-16.tar.gz(r-4.5-noble)rjags_4-16.tar.gz(r-4.4-noble)
rjags.pdf |rjags.html✨
rjags/json (API)
# Install 'rjags' in R: |
install.packages('rjags', repos = c('https://martynplummer.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- LINE - Linear regression example
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:b97b9785fb. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 19 2024 |
R-4.5-win-x86_64 | OK | Sep 19 2024 |
R-4.5-linux-x86_64 | OK | Sep 19 2024 |
R-4.4-win-x86_64 | OK | Sep 19 2024 |
R-4.4-mac-x86_64 | OK | Sep 19 2024 |
R-4.4-mac-aarch64 | OK | Sep 19 2024 |
R-4.3-win-x86_64 | OK | Sep 19 2024 |
R-4.3-mac-x86_64 | OK | Sep 19 2024 |
R-4.3-mac-aarch64 | OK | Sep 19 2024 |
Exports:adaptcoda.samplesdic.samplesdiffdicjags.modeljags.samplesjags.versionlist.factorieslist.moduleslist.samplersload.moduleparallel.seedsread.bugsdataread.dataread.jagsdataset.factoryunload.module
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bayesian graphical models using MCMC | rjags-package rjags |
Adaptive phase for JAGS models | adapt |
Generate posterior samples in mcmc.list format | coda.samples |
Advanced control over JAGS | list.factories set.factory |
Generate penalized deviance samples | dic dic.samples |
Differences in penalized deviance | diffdic |
Create a JAGS model object | jags.model |
Dynamically load JAGS modules | list.modules load.module unload.module |
Functions for manipulating jags model objects | coef.jags list.samplers variable.names.jags |
Generate posterior samples | jags.samples |
JAGS version | JAGS.version jags.version |
Linear regression example | LINE |
Objects for representing MCMC output | as.mcmc.list.mcarray mcarray.object print.mcarray summary.mcarray |
Get initial values for parallel RNGs | parallel.seeds |
Read data files for jags models | read.bugsdata read.jagsdata |
Deprecated Functions in the rjags package | read.data rjags-deprecated |
Update jags models | update.jags |