Many statistical models and analyses in R are implemented through formula objects. The formulaic package creates a unified approach for programmatically and dynamically generating formula objects. Users may specify the outcome and inputs of a model directly, search for variables to include based upon naming patterns, incorporate interactions, and identify variables to exclude. A wide range of quality checks are implemented to identify issues such as misspecified variables, duplication, a lack of contrast in the inputs, and a large number of levels in categorical data. Variables that do not meet these quality checks can be automatically excluded from the model. These issues are documented and reported in a manner that provides greater accountability and useful information to guide an investigation of the data.
Package details |
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Author | David Shilane [aut], Anderson Nelson [aut, ctb, cre], Caffrey Lee [aut, ctb], Zichen Huang [aut, ctb] |
Maintainer | Anderson Nelson <an2908@columbia.edu> |
License | GPL-3 |
Version | 0.0.8 |
URL | https://dachosen1.github.io/formulaic/index.html |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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