A system for describing and manipulating the many models that are generated in causal inference and data analysis projects, as based on the causal theory and criteria of Austin Bradford Hill (1965) <doi:10.1177/003591576505800503>. This system includes the addition of formal attributes that modify base 'R' objects, including terms and formulas, with a focus on variable roles in the "do-calculus" of modeling, as described in Pearl (2010) <doi:10.2202/1557-4679.1203>. For example, the definition of exposure, outcome, and interaction are implicit in the roles variables take in a formula. These premises allow for a more fluent modeling approach focusing on variable relationships, and assessing effect modification, as described by VanderWeele and Robins (2007) <doi:10.1097/EDE.0b013e318127181b>. The essential goal is to help contextualize formulas and models in causality-oriented workflows.
Version: 0.1.0 Depends: R (≥ 4.1.0), vctrs (≥ 0.5.0), tibble (≥ 3.0.0) Imports: stats, utils, generics, methods, dplyr, broom, tidyr, rlang, pillar, purrr, janitor Suggests: testthat (≥ 3.0.0), covr, cli, rmarkdown, knitr, ggplot2, gt, survival, cmprsk, tidycmprsk Published: 2024-05-02 DOI: 10.32614/CRAN.package.rmdl Author: Anish S. Shah [aut, cre, cph] Maintainer: Anish S. Shah <ashah282 at uic.edu> BugReports: https://github.com/shah-in-boots/rmdl/issues License: MIT + file LICENSE URL: https://github.com/shah-in-boots/rmdl NeedsCompilation: no Materials: README NEWS CRAN checks: rmdl results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rmdl to link to this page.
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