CRAN/E | eva

eva

Extreme Value Analysis with Goodness-of-Fit Testing

Installation

About

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.

Citation eva citation info
github.com/brianbader/eva_package
Bug report File report

Key Metrics

Version 0.2.6
R ≥ 2.10.0
Published 2020-11-15 1260 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks eva results

Downloads

Yesterday 13 -52%
Last 7 days 122 +5%
Last 30 days 426 -22%
Last 90 days 1.370 -5%
Last 365 days 5.360 -7%

Maintainer

Maintainer

Brian Bader

bbader.stat@gmail.com

Authors

Brian Bader

aut / cre

Jun Yan

ctb

Material

NEWS
Reference manual
Package source

In Views

ExtremeValue

Vignettes

Introduction to 'eva' and its capabilities

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

eva archive

Depends

R ≥ 2.10.0

Imports

Matrix
parallel
stats
graphics
utils
EnvStats

Suggests

rmarkdown
knitr
SpatialExtremes

Reverse Imports

waddR

Reverse Suggests

lax