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SpatialExtremes (version 1.7-0)
Modelling Spatial Extremes
Description
This package proposes several approaches for spatial extremes modelling.
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Install
install.packages('SpatialExtremes')
Monthly Downloads
814
Version
1.7-0
License
GPL (>= 2)
Maintainer
Mathieu Ribatet
Last Published
October 29th, 2010
Functions in SpatialExtremes (1.7-0)
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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