Package: jointPm 2.3.2
jointPm: Risk Estimation Using the Joint Probability Method
A bivariate integration method to estimate risk caused by two extreme and dependent forcing variables.
Authors:
jointPm_2.3.2.tar.gz
jointPm_2.3.2.zip(r-4.5)jointPm_2.3.2.zip(r-4.4)jointPm_2.3.2.zip(r-4.3)
jointPm_2.3.2.tgz(r-4.4-any)jointPm_2.3.2.tgz(r-4.3-any)
jointPm_2.3.2.tar.gz(r-4.5-noble)jointPm_2.3.2.tar.gz(r-4.4-noble)
jointPm_2.3.2.tgz(r-4.4-emscripten)jointPm_2.3.2.tgz(r-4.3-emscripten)
jointPm.pdf |jointPm.html✨
jointPm/json (API)
| # Install 'jointPm' in R: |
| install.packages('jointPm', repos = c('https://lbelzile.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lbelzile/jointpm/issues
Datasets:
- flood - Example data of flood levels and dependence strength between extreme rainfall and extreme storm tides from a coastal catchment
Last updated 2 years agofrom:20d6084bb2. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Exports:bintegGlogGneglogplot1plot2
Dependencies:
