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rmdl
View on CRAN: Click
here
Download and install rmdl package within the R console
Install from CRAN:
install.packages("rmdl")
Install from Github:
library("remotes")
install_github("cran/rmdl")
Install by package version:
library("remotes")
install_version("rmdl", "0.1.0")
Attach the package and use:
library("rmdl")
Maintained by
Anish S. Shah
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rmdl . https://github.com/shah-in-boots/rmdl/issues . https://github.com/shah-in-boots/rmdl . rmdl results . rmdl.pdf . rmdl_0.1.0.tar.gz . rmdl_0.1.0.zip . rmdl_0.1.0.zip . rmdl_0.1.0.zip . rmdl_0.1.0.tgz . rmdl_0.1.0.tgz . rmdl_0.1.0.tgz . rmdl_0.1.0.tgz . rmdl_0.1.0.tgz . rmdl_0.1.0.tgz . https://CRAN.R-project.org/package=rmdl .
First Published: 2024-05-02
Latest Update: 2024-05-02
Description:
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 areimplicit 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.
How to cite:
Anish S. Shah (2024). rmdl: Language to Manage Many Models. R package version 0.1.0, https://cran.r-project.org/web/packages/rmdl. Accessed 07 Apr. 2025.
Previous versions and publish date:
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