nhejazi/medshift: Causal mediation analysis for stochastic interventions

Estimators of a parameter arising in the decomposition of the population intervention (in)direct effect of stochastic interventions in causal mediation analysis, including efficient one-step, targeted minimum loss (TML), re-weighting (IPW), and substitution estimators. The parameter estimated constitutes a part of each of the population intervention (in)direct effects. These estimators may be used in assessing population intervention (in)direct effects under stochastic treatment regimes, including incremental propensity score interventions and modified treatment policies. The methodology was first discussed by I Díaz and NS Hejazi (2020) <doi:10.1111/rssb.12362>.

Getting started

Package details

MaintainerNima Hejazi <nh@nimahejazi.org>
LicenseMIT + file LICENSE
Version0.1.4
URL https://github.com/nhejazi/medshift
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("nhejazi/medshift")
nhejazi/medshift documentation built on Feb. 8, 2022, 10:55 p.m.