bmm (version 1.0.1)

bmm_options: View or change global bmm options

Description

View or change global bmm options

Usage

bmm_options(
  sort_data,
  parallel,
  default_priors,
  silent,
  color_summary,
  file_refit,
  reset_options = FALSE
)

Value

A message with the current bmm options and their values, and invisibly returns the old options for use with on.exit() and friends.

Arguments

sort_data

logical. If TRUE, the data will be sorted by the predictors. If FALSE, the data will not be sorted, but sampling will be slower. If "check" (the default), bmm() will check if the data is sorted, and ask you via a console prompt if it should be sorted. Default: "check"

parallel

logical. If TRUE, chains will be run in parallel. If FALSE, chains will be run sequentially. You can also set these value for each model separately via the argument parallel in bmm(). Default: FALSE

default_priors

logical. If TRUE (default), the default bmm priors will be used. If FALSE, only the basic brms priors will be used. Default: TRUE

silent

numeric. Verbosity level between 0 and 2. If 1 ( the default), most of the informational messages of compiler and sampler are suppressed. If 2, even more messages are suppressed. The actual sampling progress is still printed. Default: 1

color_summary

logical. If TRUE, the summary of the model will be printed in color. Default: TRUE

file_refit

logical. If TRUE, bmm() will refit the model even if the file argument is specified. Default: FALSE

reset_options

logical. If TRUE, the options will be reset to their default values Default: FALSE

Details

The bmm_options function is used to view or change the current bmm options. If no arguments are provided, the function will return the current options. If arguments are provided, the function will change the options and return the old options invisibly. If you provide only some of the arguments, the other options will not be changed. The options are stored in the global options list and will be used by bmm() and other functions in the bmm package. Each of these options can also be set manually using the built-in options() function, by setting the bmm.sort_data, bmm.default_priors, and bmm.silent options.

Examples

# view the current options
bmm_options()

# change the options to always sort the data and to use parallel sampling
bmm_options(sort_data = TRUE, parallel = TRUE)

# restore the default options
bmm_options(reset_options = TRUE)

# you can change the options using the options() function as well
options(bmm.sort_data = TRUE, bmm.parallel = TRUE)
bmm_options()

# reset the options to their default values
bmm_options(reset_options = TRUE)

# bmm_options(sort_data = TRUE, parallel = TRUE) will also return the old options
# so you can use it with on.exit()
old_op <- bmm_options(sort_data = TRUE, parallel = TRUE)
on.exit(bmm_options(old_op))

bmm_options(reset_options = TRUE)