Package: tmle3shift Title: Targeted Learning of the Causal Effects of Stochastic Interventions Version: 0.2.2 Authors@R: c( person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-7127-2789")), person("Jeremy", "Coyle", email = "jeremy.coyle@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0002-9874-6649")), person("Mark", "van der Laan", email = "laan@berkeley.edu", role = c("aut", "ths"), comment = c(ORCID = "0000-0003-1432-5511")) ) Maintainer: Nima Hejazi Description: 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) and an improved estimation approach was given by Díaz and van der Laan (2018) . Depends: R (>= 3.4.0) License: GPL-3 Imports: R6, uuid, methods, data.table, assertthat, tmle3 (>= 0.2.0) Suggests: testthat, knitr, rmarkdown, covr, stats, ggplot2, sl3 (>= 1.4.5), txshift (>= 0.3.8), haldensify (>= 0.2.3), hal9001, xgboost, speedglm, Rsolnp, nnls Remotes: github::tlverse/sl3, github::tlverse/tmle3 URL: https://tlverse.org/tmle3shift BugReports: https://github.com/tlverse/tmle3shift/issues Encoding: UTF-8 LazyLoad: yes VignetteBuilder: knitr RoxygenNote: 7.3.2 Roxygen: list(markdown = TRUE, r6 = FALSE) Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev Repository: https://tlverse.r-universe.dev Date/Publication: 2024-09-21 21:28:39 UTC RemoteUrl: https://github.com/tlverse/tmle3shift RemoteRef: HEAD RemoteSha: 0c3b8f07d8f5282332fbb822ea12b216f708f7c3 NeedsCompilation: no Packaged: 2026-07-03 14:22:23 UTC; root Author: Nima Hejazi [aut, cre, cph] (ORCID: ), Jeremy Coyle [aut] (ORCID: ), Mark van der Laan [aut, ths] (ORCID: )