Helper function when multiple variables are supplied for BREG priors

This is a helper function to specify several BREGPrior with the same hyper-parameters, but different variables.

Usage

BREGPriors(variable, hyper = NULL, ip = NULL)

# S4 method for class 'character'
BREGPriors(variable, hyper = NULL, ip = NULL)

Arguments

variable

A character matched against existing predictors.

hyper

A numeric estimate of the mean regression coefficients.

ip

A numeric estimate between 0 and 1 of the inclusion probability of the target variable (Default: NULL).

Value

A named list of Prior objects.

See also

Other prior: BARTPrior(), BARTPriors(), BREGPrior(), GDBPrior(), GDBPriors(), GLMNETPrior(), GLMNETPriors(), INLAPrior(), INLAPriors(), STANPrior(), STANPriors(), XGBInteractionPrior(), XGBInteractionPriors(), XGBPrior(), XGBPriors(), add_priors(), get_priors(), priors(), rm_priors()

Examples

priors <- BREGPriors(c("forest", "cropland"), hyper = 1, ip = 0.5)
length(priors)
#> [1] 2