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: 0.0.4
Depends: R (≥ 3.1.0)
Imports: data.table, stats, DT
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-10-08
Author: David Shilane [aut], Caffrey Lee [ctb], Zichen Huang [ctb], Anderson Nelson [ctb, cre]
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

Downloads:

Reference manual: formulaic.pdf
Vignettes: Introduction to Formulaic
Package source: formulaic_0.0.4.tar.gz
Windows binaries: r-devel: formulaic_0.0.4.zip, r-devel-gcc8: formulaic_0.0.4.zip, r-release: formulaic_0.0.4.zip, r-oldrel: formulaic_0.0.4.zip
OS X binaries: r-release: formulaic_0.0.4.tgz, r-oldrel: formulaic_0.0.4.tgz
Old sources: formulaic archive

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