muxuanliang/ITRGen: Estimation and inference of individualized treamtent rule using pooled-and-split de-correlated score

The package implements a doubly robust estimation for individualized treatment rule (ITR). User can choose bespoke methods to estimate outcome model and propensity. The package also provides a variaty of methods to estimate these nuisance parameters. It also returns the p-values and CI for the ITR using a pooled-and-split de-correlated score.

Getting started

Package details

AuthorMuxuan Liang <mliang@fredhutch.org>
MaintainerMuxuan Liang <mliang@fredhutch.org>
LicenseGPL-3
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("muxuanliang/ITRGen")
muxuanliang/ITRGen documentation built on Dec. 21, 2021, 11:03 p.m.