mixture_backfit_sl: Create exposure weights via SL with backfitting

In ck37/tlmixture: Data-adaptive Creation Of Exposure (Treatment) Mixtures Using Targeted Learning

Description

Create exposure weights via SL with backfitting

Usage

mixture_backfit_sl(
  data,
  outcome,
  exposures,
  estimator_mixture = c("SL.mean", "SL.lm"),
  estimator_confounders = estimator_confounders,
  folds_mixture = 5L,
  folds_confounders = 5L,
  exposure_groups = NULL,
  max_iterations = 10L,
  tolerance = 1e-05,
  quantiles = NULL,
  family = "gaussian",
  verbose = FALSE,
  ...
)

Arguments

data	tbd
outcome	outcome column name
exposures	tbd
estimator_mixture	tbd
estimator_confounders	tbd
folds_mixture	SL folds.
folds_confounders	SL folds.
exposure_groups	List of all exposure groups
max_iterations	tbd
tolerance	tbd
quantiles	tbd
family	Not used for this mixture estimator.
verbose	tbd
...	tbd

ck37/tlmixture documentation built on Dec. 19, 2021, 5:13 p.m.