Learn R Programming
⚠️There's a newer version (2.1-0) of this package.Take me there.

SpatialExtremes (version 1.7-0)

Modelling Spatial Extremes

Description

This package proposes several approaches for spatial extremes modelling.

Copy Link

Version

Install

install.packages('SpatialExtremes')

Monthly Downloads

486

Version

1.7-0

License

GPL (>= 2)

Maintainer

Mathieu Ribatet

Last Published

October 29th, 2010

Functions in SpatialExtremes (1.7-0)

madogram

Computes madograms
fitcovariance

Estimates the covariance function for the Schlather's model
predict.maxstab

Prediction of the max-stable marginal parameters
Generalized Extreme Value Distribution

The Generalized Extreme Value Distribution
rbpspline

Fits a penalized spline with radial basis functions to data
map

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

Estimates the spatial dependence parameter of a max-stable process by minimizing least squares.
Internal functions and methods

Internal functions and methods for the maxstable package.
fitmaxstab

Fits a max-stable process to data
cv

Estimates the penalty coefficient from the cross-validation criterion
qqextcoeff

QQ-plot for the extremal coefficient
print.maxstab

Printing objects of class ``maxstab''
rainfall

Summer annual maxima precipitation in Switzerland
qqgev

QQ-plot for the GEV parameters
DIC

Deviance Information Criterion
variogram

Empirical variogram
vdc

Van der Corput Sequence
condmap

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

Method for profiling fitted max-stable objects
fitcovmat

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

Printing objects of class ``pspline''
anova

Anova Tables
latent

Bayesian hierarchical models for spatial extremes
distance

Computes distance between pairs of locations
margin fits

Fits univariate extreme value distributions to data
print.spatgev

Printing objects of class ''spatgev''
Generalized Pareto Distribution

The Generalized Pareto Distribution
fitextcoeff

Non parametric estimators of the extremal coefficient function
print.latent

Printing objects of class ``latent''
rmaxstab

Simulation of Max-Stable Random Fields
TIC

Takeuchi's information criterion
gcv

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

Elevation in Switzerland
gev2frech

Transforms GEV data to unit Frechet ones and vice versa
swiss

Map of the Switzerland.
extcoeff

Plots the extremal coefficient
predict.spatgev

Prediction of the GEV parameters
rb

Creates a model using penalized smoothing splines
logLik

Extracts Log-Likelihood
lmadogram

Computes the lambda-madogram
modeldef

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

Gaussian Random Fields Simulation
profile2d

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

MLE for a spatial GEV model
SpatialExtremes

Analysis of Spatial Extremes
predict.pspline

Prediction of smoothing spline with radial basis functions
covariance

Defines and computes covariance functions
plot.maxstab

Model checking of a fitted max-stable model
fmadogram

Computes the F-madogram