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.
||R (≥ 3.2.0)
||knitr, rmarkdown, testthat (≥ 2.1.0), covr
||David Shilane [aut],
Anderson Nelson [aut, ctb, cre],
Caffrey Lee [aut, ctb],
Zichen Huang [aut, ctb]
||Anderson Nelson <an2908 at columbia.edu>
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