The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 (may not be active yet) |
| Author: | Tomás Valderrama [aut, cre] |
| Maintainer: | Tomás Valderrama <tomasvm2004 at gmail.com> |
| 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 |
| Reference manual: | ForCausality.html , ForCausality.pdf |
| Vignettes: |
ForCausality: A Curated Collection of Causal Inference Datasets and Tools (source, R code) |
| Package source: | ForCausality_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: ForCausality_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): ForCausality_0.1.0.tgz, r-oldrel (arm64): ForCausality_0.1.0.tgz, r-release (x86_64): ForCausality_0.1.0.tgz, r-oldrel (x86_64): ForCausality_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ForCausality to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.