Causal Inference Modeling for Estimation of Causal Effects R package CausalModels version 0.2.1 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/>). Software Imports: stats, causaldata, boot, multcomp, geepack Joshua Anderson <jwanderson198@gmail.com> Comprehensive R Archive Network (CRAN) Joshua Anderson [aut, cre, cph], Cyril Rakovski [rev], Yesha Patel [rev], Erin Lee [rev] GPL-3 2025-04-25 application/tgz https://CRAN.R-project.org/package=CausalModels doi:10.32614/CRAN.package.CausalModels en-US