| rpms_forest | R Documentation |
produces a random forest using rpms to create the individual trees.
rpms_forest( rp_equ, data, weights = ~1, strata = ~1, clusters = ~1, e_fn = "survLm", l_fn = NULL, bin_size = 5, f_size = 500, cores = 1 )
rp_equ |
formula containing all variables for partitioning |
data |
data.frame that includes variables used in rp_equ, e_equ, and design information |
weights |
formula or vector of sample weights for each observation |
strata |
formula or vector of strata labels |
clusters |
formula or vector of cluster labels |
e_fn |
string name of function to use for modeling (only "survLm" is operational) |
l_fn |
loss function (ignored) |
bin_size |
numeric minimum number of observations in each node |
f_size |
integer specifying the number of trees in the forest |
cores |
integer number of cores to use in parallel if > 1 (doesn't work with Windows operating systems) |
object of class "rpms"