rjags: control – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

control

Advanced control over JAGS

Description

JAGS modules contain factory objects for samplers, monitors, and random number generators for a JAGS model. These functions allow fine-grained control over which factories are active.

Usage

list.factories(type)
set.factory(name, type, state)

Arguments

`name`	name of the factory to set
`type`	type of factory to query or set. Possible values are `"sampler"`, `"monitor"`, or `"rng"`
`state`	a logical. If `TRUE` then the factory will be active, otherwise the factory will become inactive.

Value

list.factories returns a data frame with two columns, the first column shows the names of the factory objects in the currently loaded modules, and the second column is a logical vector indicating whether the corresponding factory is active or not.

set.factory is called to change the future behaviour of factory objects. If a factory is set to inactive then it will be skipped.

Note

When a module is loaded, all of its factory objects are active. This is also true if a module is unloaded and then reloaded.

Author(s)

Martyn Plummer

Examples

list.factories("sampler")
list.factories("monitor")
list.factories("rng")
set.factory("base::Slice", "sampler", FALSE)
list.factories("sampler")
set.factory("base::Slice", "sampler", TRUE)

rjags

Bayesian Graphical Models using MCMC

v4-10

GPL (== 2)

Authors

Martyn Plummer [aut, cre], Alexey Stukalov [ctb], Matt Denwood [ctb]

Initial release

2019-11-06