SL.blip.alpha: Blip-based SL with alpha

In lmmontoya/SL.ODTR: SuperLearner Estimation and Evaluation of ODTR

Blip-based SL with alpha

Description

SuperLearner for ODTR that returns estimated blips. Note this minimizes EYd!

Usage

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

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
risk.type	risk type
newV	new V
VFolds	number of folds
family	family for outcome
discrete.SL	whether discrete SL (choose one algorithm) or continuous SL (weighted combination of algorithms)
alphas_to_try	constants to try for blip
grid	size

Value

SL blip alpha object

lmmontoya/SL.ODTR documentation built on Feb. 24, 2024, 10:46 a.m.