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SpatialExtremes (version 2.0-0)

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

2.0-0

License

GPL (>= 2)

Maintainer

Mathieu Ribatet

Last Published

March 4th, 2013

Functions in SpatialExtremes (2.0-0)

TIC

Takeuchi's information criterion
Generalized Extreme Value Distribution

The Generalized Extreme Value Distribution
fitcopula

Fit a copula-based model to spatial extremes
qqgev

QQ-plot for the GEV parameters
lmadogram

Computes the lambda-madogram
condrmaxlin

Conditional simulation of max-linear random fields
gcv

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

Estimates the covariance function for the Schlather's model
DIC

Deviance Information Criterion
print.copula

Printing objects of class copula''
extcoeff

Plots the extremal coefficient
logLik

Extracts Log-Likelihood
modeldef

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

Fits a penalized spline with radial basis functions to data
fitmaxstab

Fits a max-stable process to data
profile2d

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

QQ-plot for the extremal coefficient
kriging

Simple kriging interpolation
fmadogram

Computes the F-madogram
condmap

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

Computes distance between pairs of locations
predict.spatgev

Prediction of the GEV parameters
latent

Bayesian hierarchical models for spatial extremes
cv

Estimates the penalty coefficient from the cross-validation criterion
profile

Method for profiling fitted max-stable objects
print.maxstab

Printing objects of class ``maxstab''
rmaxlin

Simulation from max-linear models
rgp

Gaussian Random Fields Simulation
SpatialExtremes

Analysis of Spatial Extremes
anova

Anova Tables
Generalized Pareto Distribution

The Generalized Pareto Distribution
fitspatgev

MLE for a spatial GEV model
print.latent

Printing objects of class ``latent''
fitextcoeff

Non parametric estimators of the extremal coefficient function
condrgp

Conditional simulation of Gaussian random fields
fitcovmat

Estimates the covariance matrix for the Smith's model
gev2frech

Transforms GEV data to unit Frechet ones and vice versa
predict.maxstab

Prediction of the max-stable marginal parameters
condrmaxstab

Conditional simulation of max-stable processes
lsmaxstab

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

Empirical variogram
swissalt

Elevation in Switzerland
plot.maxstab

Model checking of a fitted max-stable model
Internal functions and methods

Internal functions and methods for the maxstable package.
rmaxstab

Simulation of Max-Stable Random Fields
madogram

Computes madograms
map.latent

Two dimensional map from a Bayesian hierarchical model
map

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

Model checking of a fitted copula based model.
swiss

Map of the Switzerland.
margin fits

Fits univariate extreme value distributions to data
rainfall

Summer annual maxima precipitation in Switzerland
print.spatgev

Printing objects of class ''spatgev''
predict.copula

Prediction of the copula marginal parameters
rcopula

Simulation from copula based models with unit Frechet margins
print.pspline

Printing objects of class ``pspline''
vdc

Van der Corput Sequence
predict.pspline

Prediction of smoothing spline with radial basis functions
rb

Creates a model using penalized smoothing splines
covariance

Defines and computes covariance functions