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Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable the creation of predictive models with offset terms. Models with offsets are most useful when working with count data or when fitting an adjustment model on top of an existing model with a prior expectation. The former situation is common in insurance where data is often weighted by exposures. The latter is common in life insurance where industry mortality tables are often used as a starting point for setting assumptions.
Version: | 1.1.0 |
Depends: | R (≥ 4.1) |
Imports: | generics, glue, parsnip (≥ 1.2.0), poissonreg, rlang, stats |
Suggests: | broom, glmnet, knitr, recipes, rmarkdown, rpart, testthat (≥ 3.0.0), tune, workflows, rsample, xgboost |
Published: | 2024-04-11 |
DOI: | 10.32614/CRAN.package.offsetreg |
Author: | Matt Heaphy [aut, cre, cph] |
Maintainer: | Matt Heaphy <mattrmattrs at gmail.com> |
BugReports: | https://github.com/mattheaphy/offsetreg/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/mattheaphy/offsetreg/, https://mattheaphy.github.io/offsetreg/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | offsetreg results |
Reference manual: | offsetreg.pdf |
Vignettes: |
When to use offsetreg |
Package source: | offsetreg_1.1.0.tar.gz |
Windows binaries: | r-devel: offsetreg_1.1.0.zip, r-release: offsetreg_1.1.0.zip, r-oldrel: offsetreg_1.1.0.zip |
macOS binaries: | r-release (arm64): offsetreg_1.1.0.tgz, r-oldrel (arm64): offsetreg_1.1.0.tgz, r-release (x86_64): offsetreg_1.1.0.tgz, r-oldrel (x86_64): offsetreg_1.1.0.tgz |
Old sources: | offsetreg archive |
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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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