rpms_zinf {rpms}

rpms_zinf

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"