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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.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Suggests: | knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-08-30 |
| DOI: | 10.32614/CRAN.package.causalsim (may not be active yet) |
| Author: | Chayce Reed [aut, cre] |
| Maintainer: | Chayce Reed <Chayce.Reed.HSE at dartmouth.edu> |
| BugReports: | https://github.com/chaycereed/causalsim/issues |
| License: | MIT + file LICENSE |
| URL: | https://chaycereed.github.io/causalsim/, https://github.com/chaycereed/causalsim |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | causalsim results |
| Reference manual: | causalsim.html , causalsim.pdf |
| Vignettes: |
A Complete Simulation Study with causalsim (source, R code) |
| Package source: | causalsim_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: causalsim_0.1.0.zip, r-oldrel: causalsim_0.1.0.zip |
| macOS binaries: | r-release (arm64): causalsim_0.1.0.tgz, r-oldrel (arm64): causalsim_0.1.0.tgz, r-release (x86_64): causalsim_0.1.0.tgz, r-oldrel (x86_64): causalsim_0.1.0.tgz |
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