ForCausality: A Curated Collection of 'Causal Inference' Datasets and Tools (original) (raw)
Provides a comprehensive set of datasets and tools for 'causal inference' research. The package includes data from clinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies. Designed to facilitate causal analysis, risk assessment, and advanced statistical modeling, it leverages datasets from packages such as 'causalOT', 'survival', 'causalPAF', 'evident', 'melt', and 'sanon'. The package is inspired by the foundational work of Pearl (2009) <doi:10.1017/CBO9780511803161> on causal inference frameworks.
| Version: | 0.1.0 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Suggests: | ggplot2, dplyr, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2025-10-25 |
| DOI: | 10.32614/CRAN.package.ForCausality |
| Author: | Tomás Valderrama [aut, cre] |
| Maintainer: | Tomás Valderrama |
| BugReports: | https://github.com/Toby-codigos/ForCausality/issues |
| License: | GPL-3 |
| URL: | https://github.com/Toby-codigos/ForCausality,https://toby-codigos.github.io/ForCausality/ |
| NeedsCompilation: | no |
| Citation: | ForCausality citation info |
| Materials: | README |
| CRAN checks: | ForCausality results |
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