ForCausality: A Curated Collection of 'Causal Inference' Datasets and Tools

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

Documentation:

Reference manual:	ForCausality.html , ForCausality.pdf
Vignettes:	ForCausality: A Curated Collection of Causal Inference Datasets and Tools (source, R code)

Downloads:

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

Linking:

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