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evgam (version 0.1.1)

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) .

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Version

Install

install.packages('evgam')

Monthly Downloads

1,786

Version

0.1.1

License

GPL-3

Maintainer

Ben Youngman

Last Published

March 15th, 2020

Functions in evgam (0.1.1)

pinv

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

Predictions from a fitted evgam object
dfbind

Bind a list a data frames
seq_between

More Sequence Generation
runmax

Running maximum
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
evgam

Fitting generalised additive extreme-value family models
plot.evgam

Plot a fitted evgam object
logLik

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

Scatter plot, with variable-based point colours
COprcp

Colorado daily precipitation accumulations
simulate.evgam

Simulations from a fitted evgam object
extremal

Estimate extremal index using `intervals' method
FCtmax

Fort Collins, Colorado, US daily max. temperatures