The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
gcomputation: Causal Inference by using G-Computation
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) <doi:10.1038/s41598-020-65917-x>. For a binary outcome, details are available in the paper proposed by Chatton et al. (2022) <doi:10.1177/09622802211047345>.
| Version: |
0.34 |
| Depends: |
R (≥ 4.0.0), survival, hdnom, glmnet, MASS, mice |
| Imports: |
graphics, utils, methods, grDevices, stats |
| Published: |
2026-05-11 |
| DOI: |
10.32614/CRAN.package.gcomputation |
| Author: |
Yohann Foucher 
[aut, cre],
Joe De Keizer
[aut] |
| Maintainer: |
Yohann Foucher <yohann.foucher at univ-poitiers.fr> |
| BugReports: |
https://github.com/chupverse/gcomputation/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
gcomputation results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=gcomputation
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.