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)
RoxygenNote: 7.3.3
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/Needs/website: pkgdown
NeedsCompilation: no
Packaged: 2026-08-21 12:34:36 UTC; chayce
Author: Chayce Reed [aut, cre]
Maintainer: Chayce Reed <Chayce.Reed.HSE@dartmouth.edu>
Repository: CRAN
Date/Publication: 2026-08-30 10:00:15 UTC
