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Merge pull request #3 from mattheaphy/pre-release
First CRAN release
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# other | ||
next_actions.md | ||
docs | ||
CRAN-SUBMISSION | ||
cran-comments.md |
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Package: offsetreg | ||
Title: An Extension of Tidymodels Supporting Offset Terms | ||
Title: An Extension of 'Tidymodels' Supporting Offset Terms | ||
Version: 1.0.0 | ||
Authors@R: | ||
person("Matt", "Heaphy", email = "[email protected]", role = c("aut", "cre", "cph")) | ||
Maintainer: Matt Heaphy <[email protected]> | ||
Description: This package provides functions that extend the 'tidymodels' | ||
ecosystem <https://www.tidymodels.org/> to enable usage 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. | ||
Description: 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. | ||
License: MIT + file LICENSE | ||
URL: https://github.com/mattheaphy/offsetreg/, https://mattheaphy.github.io/offsetreg/ | ||
BugReports: https://github.com/mattheaphy/offsetreg/issues | ||
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# offsetreg 1.0.0 | ||
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- Initial CRAN submission | ||
- Initial CRAN release | ||
- offsetreg includes one model specification, `poisson_reg_offset()` with support for two engines: `glm_offset()` and `glmnet_offset()`, which are wrappers around `stats::glm()` and `glmnet::glmnet()`, respectively. |
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## R CMD check results | ||
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0 errors | 0 warnings | 1 note | ||
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- This is a new release. | ||
0 errors | 0 warnings | 0 notes |
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