rpms_zinf: rpms_zinf

In rpms: Recursive Partitioning for Modeling Survey Data

Description

main function producing a regression tree using variables from rp_equ to partition the data and fit the model e_equ on each node. Currently only uses data with complete cases.

Usage

rpms_zinf(
  rp_equ,
  data,
  weights = ~1,
  strata = ~1,
  clusters = ~1,
  e_equ = ~1,
  e_fn = "survLm",
  l_fn = NULL,
  bin_size = NULL,
  gridpts = 3,
  perm_reps = 1000L,
  pval = 0.05
)

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_equ	formula for modeling data in each node
e_fn	string name of function to use for modeling (only "survLm" is operational)
l_fn	loss function (does nothing yet)
bin_size	numeric minimum number of observations in each node
gridpts	integer number of middle points to do in search
perm_reps	integer specifying the number of thousands of permuation replications to use to estimate p-value
pval	numeric p-value used to reject null hypothesis in permutation test

Value

object of class "rpms"

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