Package: tmle3mopttx Title: Targeted Maximum Likelihood Estimation of the Mean under Optimal Individualized Treatment Version: 1.0.0 Authors@R: c( person("Ivana", "Malenica", email = "imalenica@berkeley.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7404-8088")), person("Jeremy", "Coyle", email = "jeremy.coyle@gmail.com", role = c("aut", "cph"), comment = c(ORCID = "0000-0002-9874-6649")), person("Mark", "van der Laan", email = "laan@berkeley.edu", role = c("aut", "ths")), person("Haodong", "Li", email = "haodong_li@berkeley.edu", role = "ctb") ) Description: This package estimates the optimal individualized treatment rule for the categorical treatment using Super Learner (sl3). In order to avoid nested cross-validation, it uses split-specific estimates of Q and g to estimate the rule as described by Coyle et al. In addition, it provides the Targeted Maximum Likelihood estimates of the mean performance using CV-TMLE under such estimated rules. This is an adapter package for use with the tmle3 framework and the tlverse software ecosystem for Targeted Learning. Depends: R (>= 3.3.0) License: GPL-3 Encoding: UTF-8 LazyData: true LazyLoad: yes Imports: R6, uuid, methods, data.table, assertthat, sl3, tmle3, future, dplyr, foreach, stats, hal9001 Suggests: testthat, knitr, rmarkdown, covr, ggplot2, tidyverse, Rsolnp, nnls, xgboost, speedglm, glmnet, randomForest Remotes: github::tlverse/delayed, github::tlverse/origami, github::tlverse/sl3, github::tlverse/tmle3, github::tlverse/tmle3shift URL: https://tlverse.org/tmle3mopttx BugReports: https://github.com/tlverse/tmle3mopttx/issues VignetteBuilder: knitr RoxygenNote: 7.2.0 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev Repository: https://ictml-project.r-universe.dev Date/Publication: 2022-08-06 03:03:11 UTC RemoteUrl: https://github.com/tlverse/tmle3mopttx RemoteRef: HEAD RemoteSha: 3c0e8437af88ca8c54fcec1e953652feaf6c9003 NeedsCompilation: no Packaged: 2026-06-10 07:48:32 UTC; root Author: Ivana Malenica [aut, cre] (ORCID: ), Jeremy Coyle [aut, cph] (ORCID: ), Mark van der Laan [aut, ths], Haodong Li [ctb] Maintainer: Ivana Malenica