Parameters for BART models These parameters are used for constructing Bayesian adaptive regression tree (BART) models.

Source: R/param_bart.R

Parameters for BART models These parameters are used for constructing Bayesian adaptive regression tree (BART) models.

prior_terminal_node_coef(range = c(0, 1), trans = NULL)

prior_terminal_node_expo(range = c(1, 3), trans = NULL)

prior_outcome_range(range = c(0, 5), trans = NULL)

Arguments

range

A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units.

trans

A trans object from the scales package, such as scales::transform_log10() or scales::transform_reciprocal(). If not provided, the default is used which matches the units used in range. If no transformation, NULL.

Details

These parameters are often used with Bayesian adaptive regression trees (BART) via parsnip::bart().