Package: eva 0.2.7

eva: Extreme Value Analysis with Goodness-of-Fit Testing

Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control. Non-stationary fitting of GEVr and GPD. Bader, B., Yan, J. & Zhang, X. (2016) <doi:10.1007/s11222-016-9697-3>. Bader, B., Yan, J. & Zhang, X. (2018) <doi:10.1214/17-AOAS1092>.

Authors:Brian Bader [aut, cre], Jun Yan [ctb]

eva_0.2.7.tar.gz
eva_0.2.7.zip(r-4.7)eva_0.2.7.zip(r-4.6)eva_0.2.7.zip(r-4.5)
eva_0.2.7.tgz(r-4.6-any)eva_0.2.7.tgz(r-4.5-any)
eva_0.2.7.tar.gz(r-4.7-any)eva_0.2.7.tar.gz(r-4.6-any)
eva_0.2.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
eva/json (API)

# Install 'eva' in R:

install.packages('eva', repos = c('https://brianbader.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/brianbader/eva_package/issues

On CRAN:

6.45 score 3 stars 2 packages 78 scripts 497 downloads 1 mentions 29 exports 2 dependencies

Last updated from:602c749b2f. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	133
source / vignettes	OK	174
linux-release-x86_64	WARNING	123
macos-release-arm64	WARNING	92
macos-oldrel-arm64	WARNING	120
windows-devel	WARNING	102
windows-release	WARNING	92
windows-oldrel	WARNING	90
wasm-release	OK	119