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.

Version:	0.0.8
Depends:	R (≥ 3.2.0)
Imports:	data.table, methods
Suggests:	knitr, rmarkdown, testthat (≥ 2.1.0), covr
Published:	2021-02-15
Author:	David Shilane [aut], Anderson Nelson [aut, ctb, cre], Caffrey Lee [aut, ctb], Zichen Huang [aut, ctb]
Maintainer:	Anderson Nelson <an2908 at columbia.edu>
BugReports:	https://github.com/dachosen1/formulaic/issues
License:	GPL-3
URL:	https://dachosen1.github.io/formulaic/index.html
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	formulaic results

Documentation:

Reference manual:	formulaic.pdf
Vignettes:	Introduction to Formulaic

Downloads:

Package source:	formulaic_0.0.8.tar.gz
Windows binaries:	r-devel: formulaic_0.0.8.zip, r-release: formulaic_0.0.8.zip, r-oldrel: formulaic_0.0.8.zip
macOS binaries:	r-release (arm64): formulaic_0.0.8.tgz, r-oldrel (arm64): formulaic_0.0.8.tgz, r-release (x86_64): formulaic_0.0.8.tgz, r-oldrel (x86_64): formulaic_0.0.8.tgz
Old sources:	formulaic archive

Reverse dependencies:

Reverse imports:

getDTeval

Linking:

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