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: 1.1.1 Depends: R (≥ 4.1) Imports: generics, glue, parsnip (≥ 1.3.0), poissonreg, rlang, stats Suggests: broom, glmnet, knitr, recipes, rmarkdown, rpart, testthat (≥ 3.0.0), tune, workflows, rsample, xgboost Published: 2025-03-02 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=offsetreg to link to this page.
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