jagsbasic: Simplified function to call JAGS from R
In jagsUI: A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses

Description Usage Arguments Details Value Author(s)

The jags.basic function is a simplified version of the jags function which returns only the mcmc.list-class output from rjags rather than a more complex summary (it will also optionally return the model, in which case the output object will be class jagsUIbasic). This minimal function may be useful when the input dataset or output parameter set are very large and memory intensive.

jags.basic(data, inits, parameters.to.save, model.file,
  n.chains, n.adapt=NULL, n.iter, n.burnin=0, n.thin=1,
  modules=c('glm'), factories=NULL, parallel=FALSE, n.cores=NULL, DIC=TRUE,
  seed=NULL, save.model=FALSE, verbose=TRUE)

`data`	A named list of the data objects required by the model, or a character vector containing the names of the data objects required by the model. Use of a character vector will be deprecated in the next version - switch to using named lists.
`inits`	A list with `n.chains` elements; each element of the list is itself a list of starting values for the `BUGS` model, or a function creating (possibly random) initial values. If inits is `NULL`, `JAGS` will generate initial values for parameters.
`parameters.to.save`	Character vector of the names of the parameters in the model which should be monitored.
`model.file`	Path to file containing the model written in `BUGS` code
`n.chains`	Number of Markov chains to run.
`n.adapt`	Number of iterations to run in the `JAGS` adaptive phase. The default is `NULL`, which will result in the function running groups of 100 adaptation iterations (to a max of 10,000) until `JAGS` reports adaptation is sufficient. If you set `n.adapt` manually, 1000 is the recommended minimum value.
`n.iter`	Total number of iterations per chain (including burn-in).
`n.burnin`	Number of iterations at the beginning of the chain to discard (i.e., the burn-in). Does not include the adaptive phase iterations.
`n.thin`	Thinning rate. Must be a positive integer.
`modules`	List of JAGS modules to load before analysis. By default only module 'glm' is loaded (in addition to 'basemod' and 'bugs'). To force no additional modules to load, set `modules=NULL`.
`factories`	Optional character vector of factories to enable or disable, in the format <factory> <type> <setting>. For example, to turn `TemperedMix` on you would provide `'mix::TemperedMix sampler TRUE'` (note spaces between parts). Make sure you have the corresponding modules loaded as well.
`parallel`	If TRUE, run MCMC chains in parallel on multiple CPU cores
`n.cores`	If parallel=TRUE, specify the number of CPU cores used. Defaults to total available cores or the number of chains, whichever is smaller.
`DIC`	Option to report deviance values. Defaults to TRUE.
`seed`	Option to set a custom seed to initialize JAGS chains, for reproducibility. Should be an integer. This argument will be deprecated in the next version, but you can always set the outside the function yourself.
`save.model`	Returns the JAGS model as part of the output object to allow updating the model later. If TRUE, the output object will instead be a list of class `jagsUIbasic`. Default is false.
`verbose`	If set to FALSE, all text output in the console will be suppressed as the function runs (including most warnings).

See documentation for jags function for analysis details. The update method will only work if save.model=TRUE.

An object of class mcmc.list, if save.model=FALSE; if save.model=TRUE, a 2-element list of class jagsUIbasic containing the mcmc samples and the model.

Ken Kellner contact@kenkellner.com.

jagsUI documentation built on June 18, 2021, 5:08 p.m.