dot-optimalClass: Perform Classification Step

Description Usage Arguments Value

Description

Perform Classification Step

Usage

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.optimalClass(
  moPropen,
  moMain,
  moCont,
  moClass,
  data,
  response,
  txName,
  iter,
  fSet,
  suppress,
  step
)

Arguments

moPropen

model object(s) for propensity regression

moMain

model object(s) for main effects of outcome regression or NULL

moCont

model object(s) for contrasts of outcome regression or NULL

moClass

model object(s) for classification procedure

data

data.frame of covariates and treatment history

response

vector of responses

txName

character of column header of data containing tx

iter

maximum number of iterations for outcome regression or NULL

fSet

function defining subsets or NULL

suppress

T/F indicating screen printing preference

step

integer indicating step of algorithm

Value

an object of class OptimalClass


DynTxRegime documentation built on Nov. 10, 2020, 1:08 a.m.