produces a random forest using rpms to create the individual trees.
rpms_forest(rp_equ, data, weights = ~1, strata = ~1, clusters = ~1,
e_equ = ~1, bin_size = NULL, perm_reps = 100, pval = 0.25,
f_size = 200, cores = 1)formula containing all variables for partitioning
data.frame that includes variables used in rp_equ, e_equ, and design information
formula or vector of sample weights for each observation
formula or vector of strata labels
formula or vector of cluster labels
formula for modeling data in each node
numeric minimum number of observations in each node
integer specifying the number of permuations
numeric p-value used to reject null hypothesis in permutation test
integer specifying the number of trees in the forest
integer number of cores to use in parallel if > 1 (not implemented)
object of class "rpms"