Package: ForCausality
Type: Package
Title: A Curated Collection of 'Causal Inference' Datasets and Tools
Version: 0.1.0
Maintainer: Tomás Valderrama <tomasvm2004@gmail.com>
Description: 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.
License: GPL-3
URL: https://github.com/Toby-codigos/ForCausality,
        https://toby-codigos.github.io/ForCausality/
BugReports: https://github.com/Toby-codigos/ForCausality/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
Authors@R: 
    person(given = "Tomás",
           family = "Valderrama",
           role = c("aut", "cre"),
           email = "tomasvm2004@gmail.com")
RoxygenNote: 7.3.3
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-22 02:18:33 UTC; tomis
Author: Tomás Valderrama [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-25 12:40:22 UTC
Built: R 4.4.1; ; 2025-10-25 12:55:30 UTC; unix
