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SpatialExtremes (version 1.1-1)
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
1.1-1
License
GPL (>= 2)
Homepage
http://people.epfl.ch/mathieu.ribatet
Maintainer
Mathieu Ribatet
Functions in SpatialExtremes (1.1-1)
Search functions
SpatialExtremes
Analysis of Spatial Extremes
anova
Anova Tables
modeldef
Define a model for the spatial behaviour of the GEV parameters
gcv
Estimates the penalty coefficient from the generalized cross-validation criterion
Generalized Extreme Value Distribution
The Generalized Extreme Value Distribution
fitcovmat
Estimates the covariance matrix for the Smith's model
predict
Prediction of smoothing spline with radial basis functions
covariance
Defines and computes covariance functions
rbpspline
Fits a penalized spline with radial basis functions to data
print
Printing objects of class ``pspline''
profile
Method for profiling fitted max-stable objects
logLik
Extracts Log-Likelihood
fitextcoeff
Non parametric estimators of the extremal coefficient function
condmap
Produces a conditional 2D map from a fitted max-stable process
gev2frech
Transforms GEV data to unit Frechet ones and vice versa
Internal functions and methods
Internal functions and methods for the maxstable package.
madogram
Computes madograms
lmadogram
Computes the lambda-madogram
qqgev
QQ-plot for the GEV parameters
fitcovariance
Estimates the covariance function for the Schlather's model
TIC
Takeuchi's information criterion
map
Produces a 2D map from a fitted max-stable process
distance
Computes distance between pairs of locations
profile2d
Method for profiling (in 2d) fitted max-stable objects
qqextcoeff
QQ-plot for the extremal coefficient
cv
Estimates the penalty coefficient from the cross-validation criterion
Generalized Pareto Distribution
The Generalized Pareto Distribution
fitspatgev
MLE for a spatial GEV model
fmadogram
Computes the F-madogram
extcoeff
Plots the extremal coefficient
margin fits
Fits univariate extreme value distributions to data
rb
Creates a model using penalized smoothing splines
fitmaxstab
Fits a max-stable process to data