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

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

Description

The focus of this package is to provide much needed automated diagnostic tools (in the form of statistical hypothesis testing) to extreme value models. Other useful functionality is efficient and user-friendly non-stationary model fitting, profile likelihood confidence intervals, data generation in the r-largest order statistics model (GEVr), and ordered p-value multiplicity adjustments. Also, all routines are implemented to efficiently handle the near-zero shape parameter, which may cause numerical issues in other packages. Functions can be roughly assigned to the following topics:

Formal (Automated) Goodness-of-Fit Testing

gevrSeqTests is a wrapper function that performs sequential testing for r in the GEVr distribution, with adjusted p-values. It can implement three tests:

gevrEd

An entropy difference test, which uses an asymptotic normal central limit theorem result.

gevrPbScore

A score test, implemented using parametric bootstrap and can be run in parallel.

gevrMultScore

An asymptotic approximation to the score test (computationally efficient).

gpdSeqTests is a wrapper function that performs sequential testing for thresholds in the Generalized Pareto distribution (GPD), with adjusted p-values. It can implement the following (six) tests:

gpdAd

The Anderson-Darling test, with log-linear interpolated p-values. Can also be bootstrapped (with a parallel option).

gpdCvm

The Cramer-Von Mises test, with log-linear interpolated p-values. Can also be bootstrapped (with a parallel option).

gpdImAsym

An asymptotic information matrix test, with bootstrapped covariance estimates.

gpdImPb

A full bootstrap version of information matrix test, with bootstrapped covariance estimates and critical values.

gpdPbScore

A score test, implemented using parametric bootstrap and can be run in parallel.

gpdMultScore

An asymptotic approximation to the score test (computationally effciient).

pSeqStop A simple function that reads in raw, ordered p-values and returns two sets that adjust for the familywise error rate and false discovery rate.

Data generation and model fitting

All the functions in this section (and package) efficiently handle a near-zero value of the shape parameter, which can cause numerical instability in similar functions from other packages. See the vignette for an example.

Data generation, density, quantile, and distribution functions can handle non-stationarity and vectorized inputs.

gevr Data generation and density function for the GEVr distribution, with distribution function and quantile functions available for GEV1 (block maxima).

gpd Data generation, distribution, quantile, and density functions for the GPD distribution.

gevrFit Non-stationary fitting of the GEVr distribution, with the option of maximum product spacings estimation when r=1. Uses formula statements for user friendliness and automatically centers/scales covariates when appropriate to speed up optimization.

gpdFit Non-stationary fitting of the GP distribution, with same options and implementation as ‘gevrFit’. Allows non-stationary threshold to be used.

gevrProfShape Profile likelihood estimation for the shape parameter of the stationary GEVr distribution.

gpdProfShape Profile likelihood estimation for the shape parameter of the stationary GP distribution.

gevrRl Profile likelihood estimation for return levels of the stationary GEVr distribution.

gpdRl Profile likelihood estimation for return levels of the stationary GP distribution.

Visual Diagnostics

gevrDiag, gpdDiag Diagnostic plots for a fit to the GEVr (GP) distribution. For stationary models, return level, density, quantile, and probability plots are returned. For non-stationary models, residual quantile, residual probability, and residuals versus covariate plots are returned.

mrlPlot Plots the empirical mean residual life, with confidence intervals. Visual diagnostic tool to choose a threshold for exceedances.

Data

fortmax Top ten annual precipitation events (inches) for one rain gauge in Fort Collins, Colorado from 1900 through 1999.

lowestoft Top ten annual sea levels at the LoweStoft station tide gauge from 1964 - 2014.

eva documentation built on Jan. 13, 2021, 8:34 p.m.