Rdocumentation
powered by
Learn R Programming
rjags (version 4-17)
Bayesian Graphical Models using MCMC
Description
Interface to the JAGS MCMC library.
Copy Link
Link to current version
Version
Version
4-17
4-16
4-15
4-14
4-13
4-12
4-11
4-10
4-9
4-8
4-7
4-6
4-5
4-4
3-15
3-14
3-13
3-12
3-11
3-10
3-9
3-8
3-7
3-5
3-4
3-3
3-2
2.2.0-4
2.2.0-3
2.2.0-2
2.2.0-1
2.1.0-10
2.1.0-9
2.1.0-8
2.1.0-7
2.1.0-6
2.1.0-5
2.1.0-4
2.1.0-3
2.1.0-2
1.0.3-13
1.0.3-12
1.0.3-11
1.0.3-10
1.0.3-9
1.0.3-8
1.0.3-7
1.0.3-6
1.0.3-5
1.0.3-4
1.0.3-3
1.0.3-2
1.0.3-1
1.0.2-3
1.0.2-2
Install
install.packages('rjags')
Monthly Downloads
30,012
Version
4-17
License
GPL (== 2)
Maintainer
Martyn Plummer
Last Published
March 24th, 2025
Functions in rjags (4-17)
Search all functions
update
Update jags models
mcarray.object
Objects for representing MCMC output
rjags-package
Bayesian graphical models using MCMC
rjags-deprecated
Deprecated Functions in the rjags package
parallel
Get initial values for parallel RNGs
read.jagsdata
Read data files for jags models
jags.version
JAGS version
coda.samples
Generate posterior samples in mcmc.list format
diffdic
Differences in penalized deviance
jags.module
Dynamically load JAGS modules
control
Advanced control over JAGS
adapt
Adaptive phase for JAGS models
jags.model
Create a JAGS model object
jags.object
Functions for manipulating jags model objects
dic.samples
Generate penalized deviance samples
jags.samples
Generate posterior samples
line
Linear regression example