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evgam (version 1.0.1)

Generalised Additive Extreme Value Models

Description

Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) , GAMs see Wood, S.N. (2017) , and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) . Details of how evgam works and various examples are given in Youngman, B.D. (2022) .

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Version

Install

install.packages('evgam')

Monthly Downloads

10,816

Version

1.0.1

License

GPL-3

Maintainer

Ben Youngman

Last Published

September 23rd, 2025

Functions in evgam (1.0.1)

fitted.evgam

Extract Model Fitted Values
colplot

Scatter plot, with variable-based point colours
evgam

Fitting generalised additive extreme-value family models
dfbind

Bind a list a data frames
COprcp

Colorado daily precipitation accumulations
extremal

Estimate extremal index using `intervals' method
pinv

Moore-Penrose pseudo-inverse of a matrix
logLik.evgam

Log-likelihood, AIC and BIC from a fitted evgam object
print.evgam

Print a fitted evgam object
simulate.evgam

Simulations from a fitted evgam object
predict.evgam

Predictions from a fitted evgam object
plot.evgam

Plot a fitted evgam object
summary.evgam

Summary method for a fitted evgam object
seq_between

More Sequence Generation
runmax

Running maximum
fremantle

Annual Maximum Sea Levels at Fremantle, Western Australia
FCtmax

Fort Collins, Colorado, US daily max. temperatures
qev

Quantile estimation of a composite extreme value distribution