Estimating Controlled Direct Effects for Explaining Causal Findings R package DirectEffects version 0.3 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216> and the telescope matching estimator described in Blackwell and Strezhnev (2020) <doi:10.1111/rssa.12759>. Software Depends: R (>= 3.5.0) Imports: stats, Formula, glue, Matching, generics, rlang, broom Suggests: knitr, rmarkdown, dplyr, tidyverse, ggplot2, reshape2, scales, testthat, nnet, glmnet, hdm, ranger Matthew Blackwell <mblackwell@gmail.com> Comprehensive R Archive Network (CRAN) Matthew Blackwell [aut, cre] (ORCID: <https://orcid.org/0000-0002-3689-9527>), Avidit Acharya [aut], Maya Sen [aut], Shiro Kuriwaki [aut], Jacob Brown [aut], Anton Strezhnev [aut] GPL (>= 2) 2024-10-04 application/tgz https://CRAN.R-project.org/package=DirectEffects doi:10.32614/CRAN.package.DirectEffects