rpms_forest: rpms_forest

In rpms: Recursive Partitioning for Modeling Survey Data

Description

produces a random forest using rpms to create the individual trees.

Usage

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
)

Arguments

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)

Value

object of class "rpms"

rpms documentation built on June 26, 2021, 1:07 a.m.