dcoptions: Setting Options
In dclone: Data Cloning and MCMC Tools for Maximum Likelihood Methods

Description Usage Arguments Details Value Author(s) Examples

Setting options.

1	dcoptions(...)

...

Arguments in tag = value form, or a list of tagged values. The tags must come from the parameters described below.

dcoptions is a convenient way of handling options related to the package.

When parameters are set by dcoptions, their former values are returned in an invisible named list. Such a list can be passed as an argument to dcoptions to restore the parameter values. Tags are the following:

`autoburnin`	logical, to use in `gelman.diag` (default is `TRUE`).
`diag`	critical value to use for data cloning convergence diagnostics, default is 0.05.
`LB`	logical, should load balancing be used, default is `FALSE`.
`overwrite`	logical, should existing model file be overwritten, default is `TRUE`.
`rhat`	critical value for testing chain convergence, default is 1.1.
`RNG`	parallel RNG type, either `"none"` (default), `"RNGstream"` or `"SPRNG"`, see `clusterSetupRNG`.
`verbose`	integer, should output be verbose (>0) or not (0), default is 1.

Peter Solymos, solymos@ualberta.ca

## set LB option, but store old value
ov <- dcoptions("LB"=TRUE)
## this is old value
ov
## this is new value
getOption("dcoptions")
## reset to old value
dcoptions(ov)
## check reset
getOption("dcoptions")