Package: gcomputation Type: Package Title: Causal Inference by using G-Computation Version: 0.36 Depends: R (>= 4.0.0), mice, survival, glmnet, hdnom Imports: dplyr, MASS, geex, methods Description: Several functions and S3 methods for G-computation and emulation of clinical trials. It allows for flexible estimation of the outcome model, especially penalized regressions (Lasso, Ridge, or Elasticnet) for binary, continuous, counting, or right-censored time-to-event outcomes. Average treatment effect among the entire population (ATE) or among the treated population (ATT) can be estimated. The method for time-to-events is described by Chatton et al. (2020) . For a binary outcome, details are available in the paper proposed by Chatton et al. (2022) . License: GPL (>=2) Encoding: UTF-8 LazyLoad: yes NeedsCompilation: no Maintainer: Yohann Foucher BugReports: https://github.com/chupverse/gcomputation/issues Authors@R: c(person("Yohann", "Foucher", role = c("aut", "cre"), email = "yohann.foucher@univ-poitiers.fr", comment = c(ORCID = "0000-0003-0330-7457")), person("Joe", "De Keizer", role = "aut", email = "joe.de.keizer@univ-poitiers.fr", comment = c(ORCID = "0000-0003-0821-4540")) ) RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev Repository: https://chupverse.r-universe.dev Date/Publication: 2026-09-08 12:44:43 UTC RemoteUrl: https://github.com/chupverse/gcomputation RemoteRef: HEAD RemoteSha: 796c6ad1e1c52086c8f40452cac88320f0f86fae Packaged: 2026-10-08 11:01:22 UTC; root Author: Yohann Foucher [aut, cre] (ORCID: ), Joe De Keizer [aut] (ORCID: )