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:Leo Belzile [cre], Feifei Zheng [aut], Michael Leonard [aut], Seth Westra [aut]

jointPm_2.3.2.tar.gz
jointPm_2.3.2.zip(r-4.7)jointPm_2.3.2.zip(r-4.6)jointPm_2.3.2.zip(r-4.5)
jointPm_2.3.2.tgz(r-4.6-any)jointPm_2.3.2.tgz(r-4.5-any)
jointPm_2.3.2.tar.gz(r-4.7-any)jointPm_2.3.2.tar.gz(r-4.6-any)
jointPm_2.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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

On CRAN:

Conda:

2.74 score 1 stars 11 scripts 649 downloads 5 exports 0 dependencies

Last updated from:20d6084bb2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK151
linux-release-x86_64OK95
macos-release-arm64OK157
macos-oldrel-arm64OK157
windows-develOK97
windows-releaseOK60
windows-oldrelOK64
wasm-releaseOK92

Exports:bintegGlogGneglogplot1plot2

Dependencies: