| CICI-package {CICI} | R Documentation |
Causal Inference with Continuous (Multiple Time Point) Interventions
Description
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. (2023) 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.
Details
| Package: | CICI |
| Type: | Package |
| Version: | 0.9.1 |
| Date: | 2023-07-30 |
| License: | GPL-2 |
| Depends: | R (>= 4.0) |
| Imports: | mgcv, glmnet, ggplot2, parallel, doParallel, foreach, doRNG, rngtools |
Author(s)
Michael Schomaker
Maintainer: Michael Schomaker <michael.schomaker@stat.uni-muenchen.de>
References
Schomaker M, McIlleron H, Denti P, Diaz I. (2023) Causal Inference for Continuous Multiple Time Point Interventions, ArXiv e-prints: https://arxiv.org/abs/2305.06645.