SL.vote: Vote-based SL
In lmmontoya/SL.ODTR: SuperLearner Estimation and Evaluation of ODTR

SL.vote

R Documentation

Vote-based SL

Description

SuperLearner for ODTR that returns estimated txts under rule

Usage

SL.vote(
  V,
  W,
  A,
  Y,
  ab,
  QAW.reg,
  g.reg,
  blip.SL.library,
  dopt.SL.library,
  risk.type,
  grid.size,
  newV = NULL,
  VFolds,
  family,
  discrete.SL
)

Arguments

`V`	subset covariates for designing ODTR
`W`	covariates
`A`	txt
`Y`	outcome
`ab`	range of Y
`QAW.reg`	Q(A,W) regression object
`g.reg`	g(A\|W) regression object
`blip.SL.library`	blip SL library
`dopt.SL.library`	dopt SL library. Options: "DonV", "Qlearn", "OWL", "EARL", "optclass", "RWL", "treatall", "treatnone". Can also be "all".
`risk.type`	risk type
`newV`	newV
`VFolds`	number of folds
`family`	family for outcome
`discrete.SL`	whether discrete SL (choose one algorithm) or continuous SL (weighted combination of algorithms)
`grid`	size