tlverse/tmle3shift: Targeted Learning of the Causal Effects of Stochastic Interventions

Targeted maximum likelihood estimation (TMLE) of population-level causal effects under stochastic treatment regimes and related nonparametric variable importance analyses. Tools are provided for TML estimation of the counterfactual mean under a stochastic intervention characterized as a modified treatment policy, such as treatment policies that shift the natural value of the exposure. The causal parameter and estimation were described in Díaz and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x> and an improved estimation approach was given by Díaz and van der Laan (2018) <doi:10.1007/978-3-319-65304-4_14>.

Getting started

Package details

MaintainerNima Hejazi <nh@nimahejazi.org>
LicenseGPL-3
Version0.2.2
URL https://tlverse.org/tmle3shift
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tlverse/tmle3shift")
tlverse/tmle3shift documentation built on Sept. 24, 2024, 4:21 a.m.