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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CausalModels 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