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(0, 3), trans = NULL)
prior_outcome_range(range = c(0, 5), trans = NULL)
A two-element vector holding the defaults for the smallest and largest possible values, respectively.
A trans object from the scales package, such as
scales::log10_trans() or scales::reciprocal_trans(). If not provided,
the default is used which matches the units used in range. If no
transformation, NULL.
These parameters are often used with Bayesian adaptive regression trees (BART)
via parsnip::bart().