Package: hkevp 1.1.6

hkevp: Spatial Extreme Value Analysis with the Hierarchical Model of Reich and Shaby (2012)

Several procedures for the hierarchical kernel extreme value process of Reich and Shaby (2012) <doi:10.1214/12-AOAS591>, including simulation, estimation and spatial extrapolation. The spatial latent variable model <doi:10.1214/11-STS376> is also included.

Authors:Quentin Sebille [aut], Leo Belzile [cre]

hkevp_1.1.6.tar.gz
hkevp_1.1.6.zip(r-4.7-x86_64)hkevp_1.1.6.zip(r-4.6-x86_64)hkevp_1.1.6.zip(r-4.5-x86_64)
hkevp_1.1.6.tgz(r-4.6-x86_64)hkevp_1.1.6.tgz(r-4.6-arm64)hkevp_1.1.6.tgz(r-4.5-x86_64)hkevp_1.1.6.tgz(r-4.5-arm64)
hkevp_1.1.6.tar.gz(r-4.7-arm64)hkevp_1.1.6.tar.gz(r-4.7-x86_64)hkevp_1.1.6.tar.gz(r-4.6-arm64)hkevp_1.1.6.tar.gz(r-4.6-x86_64)
hkevp_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
hkevp/json (API)

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

Bug tracker:https://github.com/lbelzile/hkevp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

2.70 score 10 scripts 198 downloads 13 exports 2 dependencies

Last updated from:daabb1ab8b. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK106
linux-devel-x86_64OK105
source / vignettesOK173
linux-release-arm64OK126
linux-release-x86_64OK133
macos-release-arm64OK87
macos-release-x86_64OK201
macos-oldrel-arm64OK127
macos-oldrel-x86_64OK162
windows-devel-x86_64OK100
windows-release-x86_64OK204
windows-oldrel-x86_64OK120
wasm-releaseOK107

Exports:extrapol.gevextrapol.return.levelhkevp.expmeasurehkevp.fithkevp.predicthkevp.randlatent.fitmcmc_deponlymcmc_hkevpmcmc_latentmcmc.funmcmc.plotreturn.level

Dependencies:RcppRcppArmadillo