formulaic: Dynamic Generation and Quality Checks of Formula Objects

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

AuthorDavid Shilane [aut], Caffrey Lee [ctb], Zichen Huang [ctb], Anderson Nelson [ctb, cre]
MaintainerAnderson Nelson <[email protected]>
Package repositoryView on CRAN
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formulaic documentation built on Oct. 9, 2019, 1:04 a.m.