Nothing
bartMachine = function(
X = NULL,
y = NULL,
Xy = NULL,
num_trees = 50, #found many times to not get better after this value... so let it be the default, it's faster too
num_burn_in = 250,
num_iterations_after_burn_in = 1000,
alpha = 0.95,
beta = 2,
k = 2,
q = 0.9,
nu = 3.0,
prob_rule_class = 0.5,
mh_prob_steps = c(2.5, 2.5, 4) / 9, #only the first two matter
debug_log = FALSE,
run_in_sample = TRUE,
s_sq_y = "mse", # "mse" or "var"
sig_sq_est = NULL,
print_tree_illustrations = FALSE, #POWER USERS ONLY
cov_prior_vec = NULL,
interaction_constraints = NULL,
use_missing_data = FALSE,
covariates_to_permute = NULL, #PRIVATE
num_rand_samps_in_library = 10000, #give the user the option to make a bigger library of random samples of normals and inv-gammas
use_missing_data_dummies_as_covars = FALSE,
replace_missing_data_with_x_j_bar = FALSE,
impute_missingness_with_rf_impute = FALSE,
impute_missingness_with_x_j_bar_for_lm = TRUE,
mem_cache_for_speed = TRUE,
flush_indices_to_save_RAM = TRUE,
serialize = FALSE,
seed = NULL,
verbose = TRUE
){
build_bart_machine(
X = X,
y = y,
Xy = Xy,
num_trees = num_trees,
num_burn_in = num_burn_in,
num_iterations_after_burn_in = num_iterations_after_burn_in,
alpha = alpha,
beta = beta,
k = k,
q = q,
nu = nu,
prob_rule_class = prob_rule_class,
mh_prob_steps = mh_prob_steps,
debug_log = debug_log,
run_in_sample = run_in_sample,
s_sq_y = s_sq_y,
sig_sq_est = sig_sq_est,
print_tree_illustrations = print_tree_illustrations,
cov_prior_vec = cov_prior_vec,
interaction_constraints = interaction_constraints,
use_missing_data = use_missing_data,
covariates_to_permute = covariates_to_permute,
num_rand_samps_in_library = num_rand_samps_in_library, #give the user the option to make a bigger library of random samples of normals and inv-gammas
use_missing_data_dummies_as_covars = use_missing_data_dummies_as_covars,
replace_missing_data_with_x_j_bar = replace_missing_data_with_x_j_bar,
impute_missingness_with_rf_impute = impute_missingness_with_rf_impute,
impute_missingness_with_x_j_bar_for_lm = impute_missingness_with_x_j_bar_for_lm,
mem_cache_for_speed = mem_cache_for_speed,
flush_indices_to_save_RAM = flush_indices_to_save_RAM,
serialize = serialize,
seed = seed,
verbose = verbose
)
}
bartMachineCV = function(X = NULL, y = NULL, Xy = NULL,
num_tree_cvs = c(50, 200),
k_cvs = c(2, 3, 5),
nu_q_cvs = NULL,
k_folds = 5,
folds_vec = NULL,
verbose = FALSE, ...){
build_bart_machine_cv(X, y, Xy,
num_tree_cvs,
k_cvs,
nu_q_cvs,
k_folds,
folds_vec, ...)
}
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