Package: CompoundEvents 1.0

CompoundEvents: Statistical Modeling of Compound Events

Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and quantifying impacts of compound events in hydrology and climatology. Please see Hao Zengchao et al. (2022) <doi:10.1016/j.earscirev.2022.104241>.

Authors:Zengchao Hao [aut, cre]

CompoundEvents_1.0.tar.gz
CompoundEvents_1.0.zip(r-4.7-any)CompoundEvents_1.0.zip(r-4.6-any)CompoundEvents_1.0.zip(r-4.5-any)
CompoundEvents_1.0.tgz(r-4.6-any)CompoundEvents_1.0.tgz(r-4.5-any)
CompoundEvents_1.0.tar.gz(r-4.7-any)CompoundEvents_1.0.tar.gz(r-4.6-any)
CompoundEvents_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CompoundEvents/json (API)

# Install 'CompoundEvents' in R:
install.packages('CompoundEvents', repos = c('https://drought.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/drought/compoundevents/issues

Datasets:
  • dfptng - Monthly precipitation

On CRAN:

Conda:

2.70 score 1 scripts 481 downloads 12 exports 3 dependencies

Last updated from:4f17675180. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK95
source / vignettesOK142
linux-releaseOK104
macos-releaseOK178
macos-oldrelOK190
windows-develOK63
windows-releaseOK64
windows-oldrelOK69
wasm-releaseOK90

Exports:ACCUChangeDHChangeWHDriverLogitEmpdis1Empdis2GetDHGetWHImpactMGDHLMFDHPredLogitSCEIDH

Dependencies:mvtnormpROCRcpp