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newOWL

Complete an OWL Analysis


Description

Complete an OWL Analysis

Usage

.newOWL(
  moPropen,
  data,
  response,
  txName,
  lambdas,
  cvFolds,
  kernel,
  fSet,
  surrogate,
  suppress,
  guess,
  ...
)

Arguments

moPropen

modelObj for propensity modeling

data

data.frame of covariates

response

Vector of responses

txName

Tx variable column header in data

lambdas

Tuning parameter(s)

cvFolds

Number of cross-validation folds

kernel

Kernel object or SubsetList

fSet

NULL or function defining subset rules

surrogate

Surrogate object

suppress

T/F indicating if prints to screen are executed

guess

optional numeric vector providing starting values for optimization methods

...

Additional inputs for optimization

txVec

Tx vector recast as +/- 1

Value

An OWL object


DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

v4.10
GPL-2
Authors
S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Initial release
2022-06-05

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