autojags: Function for auto-updating 'JAGS' until the model converges

In suyusung/R2jags: Using R to Run 'JAGS'

Function for auto-updating ‘JAGS’ until the model converges

Description

The autojags takes a rjags object as input. autojags will update the model until it converges.

Usage

## S3 method for class 'rjags'
update(object, n.iter=1000, n.thin=1,
                      refresh=n.iter/50, progress.bar = "text", ...)
autojags(object, n.iter=1000, n.thin=1, Rhat=1.1, n.update=2,
      refresh=n.iter/50, progress.bar = "text", ...)

Arguments

object	an object of rjags class.
n.iter	number of total iterations per chain, default=1000
n.thin	thinning rate. Must be a positive integer, default=1
...	further arguments pass to or from other methods.
Rhat	converegence criterion, default=1.1.
n.update	the max number of updates, default=2.
refresh	refresh frequency for progress bar, default is n.iter/50
progress.bar	type of progress bar. Possible values are “text”, “gui”, and “none”. Type “text” is displayed on the R console. Type “gui” is a graphical progress bar in a new window. The progress bar is suppressed if progress.bar is “none”

Author(s)

Yu-Sung Su [e-mail]

References

Gelman, A., Carlin, J.B., Stern, H.S., Rubin, D.B. (2003): Bayesian Data Analysis, 2nd edition, CRC Press.

Examples

 # see ?jags for an example.

suyusung/R2jags documentation built on April 5, 2024, 6:20 a.m.