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SpatialExtremes (version 2.0-2)

Modelling Spatial Extremes

Description

Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models.

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Version

Install

install.packages('SpatialExtremes')

Monthly Downloads

486

Version

2.0-2

License

GPL (>= 2)

Maintainer

Mathieu Ribatet

Last Published

June 11th, 2015

Functions in SpatialExtremes (2.0-2)

DIC

Deviance Information Criterion
plot.copula

Model checking of a fitted copula based model.
plot.maxstab

Model checking of a fitted max-stable model
swiss

Map of the Switzerland.
TIC

Takeuchi's information criterion
anova

Anova Tables
fitspatgev

MLE for a spatial GEV model
SpatialExtremes

Analysis of Spatial Extremes
vdc

Van der Corput Sequence
cv

Estimates the penalty coefficient from the cross-validation criterion
rbpspline

Fits a penalized spline with radial basis functions to data
condrmaxlin

Conditional simulation of max-linear random fields
fitcopula

Fit a copula-based model to spatial extremes
lsmaxstab

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

Fits a max-stable process to data
rmaxstab

Simulation of Max-Stable Random Fields
USHCNTemp

Summer/Winter annual maxima/minima temperature in continental US.
Internal functions and methods

Internal functions and methods for the maxstable package.
distance

Computes distance between pairs of locations
fitcovariance

Estimates the covariance function for the Schlather's model
rainfall

Summer annual maxima precipitation in Switzerland
logLik

Extracts Log-Likelihood
print

Printing objects of classes defined in the SpatialExtreme packages
rcopula

Simulation from copula based models with unit Frechet margins
fitcovmat

Estimates the covariance matrix for the Smith's model
symbolplot

Detecting spatial trends graphically
modeldef

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

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

Defines and computes covariance functions
profile2d

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

Conditional simulation of max-stable processes
condrgp

Conditional simulation of Gaussian random fields
concurrencemap

Maps of concurrence probabilities/expected concurrence cell area
qqgev

QQ-plot for the GEV parameters
kriging

Simple kriging interpolation
rmaxlin

Simulation from max-linear models
map.latent

Two dimensional map from a Bayesian hierarchical model
qqextcoeff

QQ-plot for the extremal coefficient
latent

Bayesian hierarchical models for spatial extremes
rb

Creates a model using penalized smoothing splines
madogram

Computes madograms
lmadogram

Computes the lambda-madogram
concprob

Pairwise empirical and extremal concurrence probabilities
extcoeff

Plots the extremal coefficient
fmadogram

Computes the F-madogram
margin fits

Fits univariate extreme value distributions to data
rgp

Gaussian Random Fields Simulation
gcv

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

Empirical variogram
Generalized Pareto Distribution

The Generalized Pareto Distribution
predict

Prediction of the marginal parameters for various models
Generalized Extreme Value Distribution

The Generalized Extreme Value Distribution
map

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

Non parametric estimators of the extremal coefficient function
gev2frech

Transforms GEV data to unit Frechet ones and vice versa
wind

Annual maxima wind gusts in the Netherlands.
profile

Method for profiling fitted max-stable objects
swissalt

Elevation in Switzerland