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: | 0.0.7 |
| Depends: | R (≥ 3.2.0) |
| Imports: | data.table |
| Suggests: | knitr, rmarkdown, testthat (≥ 2.1.0), covr |
| Published: | 2020-05-04 |
| Author: | David Shilane [aut], Caffrey Lee [aut, ctb], Zichen Huang [aut, ctb], Anderson Nelson [aut, 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 |
| Reference manual: | formulaic.pdf |
| Vignettes: |
Introduction to Formulaic |
| Package source: | formulaic_0.0.7.tar.gz |
| Windows binaries: | r-devel: formulaic_0.0.7.zip, r-release: formulaic_0.0.7.zip, r-oldrel: formulaic_0.0.7.zip |
| macOS binaries: | r-release: formulaic_0.0.7.tgz, r-oldrel: formulaic_0.0.7.tgz |
| Old sources: | formulaic archive |
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