The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The goal of 'SAFEPG' is to predict climate-related extreme losses by fitting a frequency-severity model. It improves predictive performance by introducing a sign-aligned regularization term, which ensures consistent signs for the coefficients across the frequency and severity components. This enhancement not only increases model accuracy but also enhances its interpretability, making it more suitable for practical applications in risk assessment.
| Version: | 0.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, Matrix, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-05-09 |
| DOI: | 10.32614/CRAN.package.SAFEPG |
| Author: | Qian Tang [aut, cre], Yikai Zhang [aut], Boxiang Wang [aut] |
| Maintainer: | Qian Tang <qian-tang at uiowa.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | SAFEPG results |
| Reference manual: | SAFEPG.pdf |
| Vignettes: |
SAFEPG (source, R code) |
| Package source: | SAFEPG_0.0.1.tar.gz |
| Windows binaries: | r-devel: SAFEPG_0.0.1.zip, r-release: SAFEPG_0.0.1.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): SAFEPG_0.0.1.tgz, r-oldrel (arm64): SAFEPG_0.0.1.tgz, r-release (x86_64): SAFEPG_0.0.1.tgz, r-oldrel (x86_64): SAFEPG_0.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SAFEPG to link to this page.
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.
Health stats visible at Monitor.