Package: causalsim
Title: Simulation-Ready Causal Data Generating Processes
Version: 0.1.0
Authors@R: 
    person("Chayce", "Reed", email = "Chayce.Reed.HSE@dartmouth.edu", role = c("aut", "cre"))
Description: 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.
License: MIT + file LICENSE
URL: https://chaycereed.github.io/causalsim/,
        https://github.com/chaycereed/causalsim
BugReports: https://github.com/chaycereed/causalsim/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/Needs/website: pkgdown
Repository: https://chaycereed.r-universe.dev
Date/Publication: 2026-10-08 01:59:15 UTC
RemoteUrl: https://github.com/chaycereed/causalsim
RemoteRef: HEAD
RemoteSha: 9898ab85c550e76d9a3691a15d84c6d316ccce04
NeedsCompilation: no
Packaged: 2026-10-08 02:36:28 UTC; root
Author: Chayce Reed [aut, cre]
Maintainer: Chayce Reed <Chayce.Reed.HSE@dartmouth.edu>