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Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | cli (≥ 3.6.0), glue (≥ 1.6.2), rlang (≥ 1.1.0), tibble (≥ 3.2.1), vctrs (≥ 0.6.0) |
| Suggests: | covr, crayon, devtools, knitr, Matrix, modeldata (≥ 0.0.2), recipes (≥ 1.0.5), rmarkdown (≥ 2.3), roxygen2, testthat (≥ 3.0.0), usethis (≥ 2.1.5) |
| Published: | 2024-02-02 |
| Author: | Davis Vaughan [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd] |
| Maintainer: | Davis Vaughan <davis at posit.co> |
| BugReports: | https://github.com/tidymodels/hardhat/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tidymodels/hardhat, https://hardhat.tidymodels.org |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | hardhat results |
| Reference manual: | hardhat.pdf |
| Vignettes: |
Forging data for predictions Molding data for modeling Creating Modeling Packages With hardhat |
| Package source: | hardhat_1.3.1.tar.gz |
| Windows binaries: | r-devel: hardhat_1.3.1.zip, r-release: hardhat_1.3.1.zip, r-oldrel: hardhat_1.3.1.zip |
| macOS binaries: | r-release (arm64): hardhat_1.3.1.tgz, r-oldrel (arm64): hardhat_1.3.1.tgz, r-release (x86_64): hardhat_1.3.1.tgz, r-oldrel (x86_64): hardhat_1.3.1.tgz |
| Old sources: | hardhat archive |
| Reverse imports: | agua, applicable, baguette, brulee, card, censored, cuda.ml, dann, dials, healthyR.ts, modeltime, modeltime.resample, parsnip, probably, recipes, tabnet, themis, tidyclust, tidycmprsk, tidymodels, tune, vetiver, waywiser, workflows, workflowsets, yardstick |
| Reverse suggests: | embed, healthyR.ai, mmrm, nestedmodels, textrecipes |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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