https://chaycereed.r-universe.devRecent package updates in chaycereedR-universehttps://github.com/chaycereed.pnghttps://chaycereed.r-universe.devThu, 08 Oct 2026 01:59:15 GMTchayce.reed.hse@dartmouth.edu (Chayce Reed)Construct, simulate, and evaluate causal data generating processes (DGPs) with known ground truth. Designed for benchmarking causal estimators, studying confounding and treatment-effect heterogeneity, and building reproducible teaching examples. Covariate roles (confounder, effect modifier, noise) and heterogeneous treatment effects are first-class concepts in the API, and estimator performance is summarised with bias, root mean squared error, confidence-interval coverage, and power.https://github.com/r-universe/chaycereed/actions/runs/37718355880Thu, 08 Oct 2026 01:59:15 GMTcausalsim0.1.0successhttps://chaycereed.r-universe.devhttps://github.com/chaycereed/causalsimsimulation-study.Rmdsimulation-study.htmlA Complete Simulation Study with causalsim2026-04-24 20:38:562026-08-18 22:21:25