double_deepTL: The algorithm for double deep treatment learning

In SkadiEye/deepTL: Deep Treatment Learning

The algorithm for double deep treatment learning

Description

The algorithm for double deep treatment learning in comparative effectiveness analysis.

Usage

double_deepTL(
  object,
  en_dnn_ctrl1 = NULL,
  en_dnn_ctrl2 = NULL,
  methods = c("revised-semi", "semi", "cov-adj", "ipw1", "ipw2", "ipw3", "double-robust"),
  ...
)

Arguments

object	A dnnetInput or a dnnetSurvInput object, the training set.
en_dnn_ctrl1	A list of parameters to be passed to ensemble_dnnet for model 1.
en_dnn_ctrl2	A list of parameters to be passed to ensemble_dnnet for model 2.
methods	Methods included in this analysis.
...	Parameters passed to both en_dnn_ctrl1 and en_dnn_ctrl2.

Value

Returns a list of results.

SkadiEye/deepTL documentation built on Nov. 17, 2022, 1:41 p.m.