Package: DirectEffects Version: 0.3 Title: Estimating Controlled Direct Effects for Explaining Causal Findings Authors@R: c( person("Matthew", "Blackwell", email = "mblackwell@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3689-9527")), person("Avidit", "Acharya", email = "avidit@stanford.edu", role = c("aut")), person("Maya", "Sen", email = "maya_sen@hks.harvard.edu", role = c("aut")), person("Shiro", "Kuriwaki", email = "shirokuriwaki@gmail.com", role = c("aut")), person("Jacob", "Brown", email = "jbrown13@bu.edu", role = c("aut")), person("Anton", "Strezhnev", email = "astrezhnev@uchicago.edu", role = c("aut"))) Imports: stats, Formula, glue, Matching, generics, rlang, broom Depends: R (>= 3.5.0) Suggests: knitr, rmarkdown, dplyr, tidyverse, ggplot2, reshape2, scales, testthat, nnet, glmnet, hdm, ranger Description: 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) and Acharya, Blackwell, and Sen (2016) and the telescope matching estimator described in Blackwell and Strezhnev (2020) . License: GPL (>= 2) URL: https://mattblackwell.github.io/DirectEffects/ BugReports: https://github.com/mattblackwell/DirectEffects/issues VignetteBuilder: knitr LazyData: true Encoding: UTF-8 RoxygenNote: 7.3.2 Config/pak/sysreqs: libicu-dev Repository: https://mattblackwell.r-universe.dev Date/Publication: 2025-02-25 01:31:18 UTC RemoteUrl: https://github.com/mattblackwell/directeffects RemoteRef: HEAD RemoteSha: 89227651a597d18adfd3be6c579ec85e9edcc64b NeedsCompilation: no Packaged: 2026-06-07 08:21:45 UTC; root Author: Matthew Blackwell [aut, cre] (ORCID: ), Avidit Acharya [aut], Maya Sen [aut], Shiro Kuriwaki [aut], Jacob Brown [aut], Anton Strezhnev [aut] Maintainer: Matthew Blackwell