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.


Reference manual

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0.0.8 by Anderson Nelson, a year ago


Report a bug at https://github.com/dachosen1/formulaic/issues

Browse source code at https://github.com/cran/formulaic

Authors: David Shilane [aut] , Anderson Nelson [aut, ctb, cre] , Caffrey Lee [aut, ctb] , Zichen Huang [aut, ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports data.table, methods

Suggests knitr, rmarkdown, testthat, covr

Imported by getDTeval.

See at CRAN