basic_fixed_HAL: (Experimental) Super Learner wrapper for fixed HAL

In wilsoncai1992/TMLEbootstrap: Bootstrap Confidence Intervals for Targeted Maximum Likelihood Estimators

Description

depend on an hal9001 object. which is the fit on the whole data.

Usage

basic_fixed_HAL(
  Y,
  X,
  hal9001_object = NULL,
  newX = NULL,
  family = stats::gaussian(),
  obsWeights = rep(1, length(Y)),
  inflate_lambda = 1,
  ...
)

Arguments

Y	vector of target
X	data.frame of feature
hal9001_object	hal9001 object
newX	data.frame of features to generate prediction
family	glm family Y
obsWeights	vector of weight
inflate_lambda	scale the penalty factor
...	other arguments

wilsoncai1992/TMLEbootstrap documentation built on Feb. 27, 2021, 7:57 a.m.