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 |
Documentation:
Downloads:
Reverse dependencies:
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