This package facilitates the estimation of counterfactual outcomes for multiple values of continuous interventions at different time points, and allows plotting of causal dose-response curves.
It implements the standard g-methods approach using the (semi-)parametric g-formula, as described in the Schomaker et al. (2024) reference listed below. Weighted dose-response curves that address positivity violations, and are fitted via sequential g-computation, are currently only available on GitHub and are not (yet) integrated in this package.
The main function of the package is currently gformula.
Michael Schomaker
Maintainer: Michael Schomaker <michael.schomaker@stat.uni-muenchen.de>
| Package: | CICI |
| Type: | Package |
| Version: | 0.9.7 |
| Date: | 2025-12-19 |
| License: | GPL-2 |
| Depends: | R (>= 4.0) |
| Imports: | mgcv, glmnet, ggplot2, parallel, doParallel, foreach, doRNG, rngtools, survival |
| Suggests: | haldensify, hal9001 |
Schomaker M, McIlleron H, Denti P, Diaz I. (2024) Causal Inference for Continuous Multiple Time Point Interventions, Statistics in Medicine, 43:5380-5400, see also https://arxiv.org/abs/2305.06645.