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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. If a transformation is specified, these values should be in the transformed units.


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().