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.
|Author||David Shilane [aut], Caffrey Lee [ctb], Zichen Huang [ctb], Anderson Nelson [ctb, cre]|
|Maintainer||Anderson Nelson <[email protected]>|
|Package repository||View on CRAN|
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