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SpatialExtremes (version 1.9-1)

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

1.9-1

License

GPL (>= 2)

Maintainer

Mathieu Ribatet

Last Published

January 30th, 2013

Functions in SpatialExtremes (1.9-1)

condmap

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

Estimates the penalty coefficient from the cross-validation criterion
covariance

Defines and computes covariance functions
fitcovmat

Estimates the covariance matrix for the Smith's model
print.maxstab

Printing objects of class ``maxstab''
condrgp

Conditional simulation of Gaussian random fields
fmadogram

Computes the F-madogram
lmadogram

Computes the lambda-madogram
gev2frech

Transforms GEV data to unit Frechet ones and vice versa
DIC

Deviance Information Criterion
SpatialExtremes

Analysis of Spatial Extremes
anova

Anova Tables
fitspatgev

MLE for a spatial GEV model
condrmaxstab

Conditional simulation of max-stable processes
print.copula

Printing objects of class copula''
rcopula

Simulation from copula based models with unit Frechet margins
fitextcoeff

Non parametric estimators of the extremal coefficient function
rb

Creates a model using penalized smoothing splines
Internal functions and methods

Internal functions and methods for the maxstable package.
madogram

Computes madograms
rmaxstab

Simulation of Max-Stable Random Fields
fitmaxstab

Fits a max-stable process to data
qqgev

QQ-plot for the GEV parameters
margin fits

Fits univariate extreme value distributions to data
distance

Computes distance between pairs of locations
TIC

Takeuchi's information criterion
Generalized Extreme Value Distribution

The Generalized Extreme Value Distribution
rgp

Gaussian Random Fields Simulation
logLik

Extracts Log-Likelihood
swissalt

Elevation in Switzerland
condrmaxlin

Conditional simulation of max-linear random fields
gcv

Estimates the penalty coefficient from the generalized cross-validation criterion
profile2d

Method for profiling (in 2d) fitted max-stable objects
print.spatgev

Printing objects of class ''spatgev''
map

Produces a 2D map from a fitted max-stable process
plot.copula

Model checking of a fitted copula based model.
lsmaxstab

Estimates the spatial dependence parameter of a max-stable process by minimizing least squares.
print.latent

Printing objects of class ``latent''
predict.spatgev

Prediction of the GEV parameters
rainfall

Summer annual maxima precipitation in Switzerland
swiss

Map of the Switzerland.
Generalized Pareto Distribution

The Generalized Pareto Distribution
fitcopula

Fit a copula-based model to spatial extremes
latent

Bayesian hierarchical models for spatial extremes
kriging

Simple kriging interpolation
modeldef

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

Fits a penalized spline with radial basis functions to data
predict.copula

Prediction of the copula marginal parameters
plot.maxstab

Model checking of a fitted max-stable model
fitcovariance

Estimates the covariance function for the Schlather's model
vdc

Van der Corput Sequence
extcoeff

Plots the extremal coefficient
rmaxlin

Simulation from max-linear models
print.pspline

Printing objects of class ``pspline''
map.latent

Two dimensional map from a Bayesian hierarchical model
predict.maxstab

Prediction of the max-stable marginal parameters
predict.pspline

Prediction of smoothing spline with radial basis functions
profile

Method for profiling fitted max-stable objects
qqextcoeff

QQ-plot for the extremal coefficient
variogram

Empirical variogram