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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 |
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 |
Reference manual: | rmdl.pdf |
Vignettes: |
Getting Started |
Package source: | rmdl_0.1.0.tar.gz |
Windows binaries: | r-devel: rmdl_0.1.0.zip, r-release: rmdl_0.1.0.zip, r-oldrel: rmdl_0.1.0.zip |
macOS binaries: | r-release (arm64): rmdl_0.1.0.tgz, r-oldrel (arm64): rmdl_0.1.0.tgz, r-release (x86_64): rmdl_0.1.0.tgz, r-oldrel (x86_64): rmdl_0.1.0.tgz |
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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.
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