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SpatialExtremes (version 1.1-1)

Modelling Spatial Extremes

Description

This package proposes several approaches for spatial extremes modelling.

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Version

Install

install.packages('SpatialExtremes')

Monthly Downloads

486

Version

1.1-1

License

GPL (>= 2)

Maintainer

Mathieu Ribatet

Last Published

April 19th, 2022

Functions in SpatialExtremes (1.1-1)

SpatialExtremes

Analysis of Spatial Extremes
anova

Anova Tables
modeldef

Define a model for the spatial behaviour of the GEV parameters
gcv

Estimates the penalty coefficient from the generalized cross-validation criterion
Generalized Extreme Value Distribution

The Generalized Extreme Value Distribution
fitcovmat

Estimates the covariance matrix for the Smith's model
predict

Prediction of smoothing spline with radial basis functions
covariance

Defines and computes covariance functions
rbpspline

Fits a penalized spline with radial basis functions to data
print

Printing objects of class ``pspline''
profile

Method for profiling fitted max-stable objects
logLik

Extracts Log-Likelihood
fitextcoeff

Non parametric estimators of the extremal coefficient function
condmap

Produces a conditional 2D map from a fitted max-stable process
gev2frech

Transforms GEV data to unit Frechet ones and vice versa
Internal functions and methods

Internal functions and methods for the maxstable package.
madogram

Computes madograms
lmadogram

Computes the lambda-madogram
qqgev

QQ-plot for the GEV parameters
fitcovariance

Estimates the covariance function for the Schlather's model
TIC

Takeuchi's information criterion
map

Produces a 2D map from a fitted max-stable process
distance

Computes distance between pairs of locations
profile2d

Method for profiling (in 2d) fitted max-stable objects
qqextcoeff

QQ-plot for the extremal coefficient
cv

Estimates the penalty coefficient from the cross-validation criterion
Generalized Pareto Distribution

The Generalized Pareto Distribution
fitspatgev

MLE for a spatial GEV model
fmadogram

Computes the F-madogram
extcoeff

Plots the extremal coefficient
margin fits

Fits univariate extreme value distributions to data
rb

Creates a model using penalized smoothing splines
fitmaxstab

Fits a max-stable process to data