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 |
| DOI: | 10.32614/CRAN.package.formulaic |
| 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 |
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