Package: eva 0.2.6

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.

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

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eva.pdf |eva.html✨
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/geekman1/eva_package/issues

Datasets:

On CRAN:

5.69 score 3 stars 1 packages 54 scripts 504 downloads 1 mentions 29 exports 30 dependencies

Last updated 5 years agofrom:d836716fa7. Checks:OK: 1 WARNING: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 10 2024
R-4.5-win	WARNING	Nov 10 2024
R-4.5-linux	WARNING	Nov 10 2024
R-4.4-win	WARNING	Nov 10 2024
R-4.4-mac	WARNING	Nov 10 2024
R-4.3-win	WARNING	Nov 10 2024
R-4.3-mac	WARNING	Nov 10 2024