Provides an array of statistical models common in causal inference such as standardization, IP weighting, propensity matching, outcome regression, and doubly-robust estimators. Estimates of the average treatment effects from each model are given with the standard error and a 95% Wald confidence interval (Hernan, Robins (2020) <https://miguelhernan.org/whatifbook/>).
| Version: | 0.2.1 |
| Imports: | stats, causaldata, boot, multcomp, geepack |
| Published: | 2025-04-25 |
| DOI: | 10.32614/CRAN.package.CausalModels |
| Author: | Joshua Anderson [aut, cre, cph], Cyril Rakovski [rev], Yesha Patel [rev], Erin Lee [rev] |
| Maintainer: | Joshua Anderson <jwanderson198 at gmail.com> |
| BugReports: | https://github.com/ander428/CausalModels/issues |
| License: | GPL-3 |
| URL: | https://github.com/ander428/CausalModels |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | CausalModels results |
| Reference manual: | CausalModels.html , CausalModels.pdf |
| Package source: | CausalModels_0.2.1.tar.gz |
| Windows binaries: | r-devel: CausalModels_0.2.1.zip, r-release: CausalModels_0.2.1.zip, r-oldrel: CausalModels_0.2.1.zip |
| macOS binaries: | r-release (arm64): CausalModels_0.2.1.tgz, r-oldrel (arm64): CausalModels_0.2.1.tgz, r-release (x86_64): CausalModels_0.2.1.tgz, r-oldrel (x86_64): CausalModels_0.2.1.tgz |
| Old sources: | CausalModels archive |
Please use the canonical form https://CRAN.R-project.org/package=CausalModels to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.