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evgam (version 0.1.2)

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) .

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Version

Install

install.packages('evgam')

Monthly Downloads

3,768

Version

0.1.2

License

GPL-3

Maintainer

Ben Youngman

Last Published

April 19th, 2020

Functions in evgam (0.1.2)

extremal

Estimate extremal index using `intervals' method
simulate.evgam

Simulations from a fitted evgam object
plot.evgam

Plot a fitted evgam object
summary.evgam

Summary method for a fitted evgam object
qev

Quantile estimation of a composite extreme value distribution
print.evgam

Print a fitted evgam object
seq_between

More Sequence Generation
runmax

Running maximum
predict.evgam

Predictions from a fitted evgam object
logLik.evgam

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

Colorado daily precipitation accumulations
pinv

Moore-Penrose pseudo-inverse of a matrix
colplot

Scatter plot, with variable-based point colours
evgam

Fitting generalised additive extreme-value family models
fitted.evgam

Extract Model Fitted Values
dfbind

Bind a list a data frames
FCtmax

Fort Collins, Colorado, US daily max. temperatures
fremantle

Annual Maximum Sea Levels at Fremantle, Western Australia