Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula (Wen, Young, Robins, and Hernán (2020) <doi:10.1111/biom.13321>). Both singly robust and doubly robust ICE estimators based on parametric models are available. The package can be used to estimate survival curves under sustained treatment strategies (interventions) using longitudinal data with time-varying treatments, time-varying confounders, censoring, and competing events. The interventions can be static or dynamic, and deterministic or stochastic (including threshold interventions). Both prespecified and user-defined interventions are available.
Version: 0.1.0 Depends: R (≥ 2.10) Imports: data.table, ggplot2, nnet, doParallel, parallel, foreach, stringr, magrittr, dplyr, rlang, reshape2, speedglm, methods, Hmisc, splines Suggests: testthat (≥ 3.0.0) Published: 2024-12-02 DOI: 10.32614/CRAN.package.gfoRmulaICE Author: Zhaoxi Cheng [aut, cre], Jing Li [aut], Sophia Rein [aut], Ryan O'Dea [aut], Sean McGrath [aut], Lan Wen [aut], Miguel A. Hernán [aut], 2024 The President and Fellows of Harvard College [cph] Maintainer: Zhaoxi Cheng <zcheng at hsph.harvard.edu> License: MIT + file LICENSE NeedsCompilation: no Materials: README, NEWS CRAN checks: gfoRmulaICE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gfoRmulaICE to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4