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SpatialExtremes (version 1.8-1)
Modelling Spatial Extremes
Description
This package proposes several approaches for spatial extremes modelling.
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Install
install.packages('SpatialExtremes')
Monthly Downloads
751
Version
1.8-1
License
GPL (>= 2)
Maintainer
Mathieu Ribatet
Last Published
July 5th, 2011
Functions in SpatialExtremes (1.8-1)
Search functions
gev2frech
Transforms GEV data to unit Frechet ones and vice versa
latent
Bayesian hierarchical models for spatial extremes
fitmaxstab
Fits a max-stable process to data
fitspatgev
MLE for a spatial GEV model
Internal functions and methods
Internal functions and methods for the maxstable package.
predict.spatgev
Prediction of the GEV parameters
plot.copula
Model checking of a fitted copula based model.
Generalized Extreme Value Distribution
The Generalized Extreme Value Distribution
Generalized Pareto Distribution
The Generalized Pareto Distribution
print.spatgev
Printing objects of class ''spatgev''
predict.copula
Prediction of the copula marginal parameters
profile
Method for profiling fitted max-stable objects
rb
Creates a model using penalized smoothing splines
lmadogram
Computes the lambda-madogram
profile2d
Method for profiling (in 2d) fitted max-stable objects
anova
Anova Tables
qqextcoeff
QQ-plot for the extremal coefficient
rmaxstab
Simulation of Max-Stable Random Fields
rmaxlin
Simulation from max-linear models
map
Produces a 2D map from a fitted max-stable process
qqgev
QQ-plot for the GEV parameters
logLik
Extracts Log-Likelihood
kriging
Simple kriging interpolation
covariance
Defines and computes covariance functions
predict.pspline
Prediction of smoothing spline with radial basis functions
fitcovmat
Estimates the covariance matrix for the Smith's model
fmadogram
Computes the F-madogram
plot.maxstab
Model checking of a fitted max-stable model
print.pspline
Printing objects of class ``pspline''
margin fits
Fits univariate extreme value distributions to data
rbpspline
Fits a penalized spline with radial basis functions to data
rainfall
Summer annual maxima precipitation in Switzerland
TIC
Takeuchi's information criterion
predict.maxstab
Prediction of the max-stable marginal parameters
print.latent
Printing objects of class ``latent''
swissalt
Elevation in Switzerland
variogram
Empirical variogram
map.latent
Two dimensional map from a Bayesian hierarchical model
gcv
Estimates the penalty coefficient from the generalized cross-validation criterion
fitextcoeff
Non parametric estimators of the extremal coefficient function
print.copula
Printing objects of class copula''
extcoeff
Plots the extremal coefficient
modeldef
Define a model for the spatial behaviour of the GEV parameters
rcopula
Simulation from copula based models with unit Frechet margins
vdc
Van der Corput Sequence
distance
Computes distance between pairs of locations
cv
Estimates the penalty coefficient from the cross-validation criterion
lsmaxstab
Estimates the spatial dependence parameter of a max-stable process by minimizing least squares.
print.maxstab
Printing objects of class ``maxstab''
swiss
Map of the Switzerland.
DIC
Deviance Information Criterion
SpatialExtremes
Analysis of Spatial Extremes
condrgp
Conditional simulation of Gaussian random fields
condmap
Produces a conditional 2D map from a fitted max-stable process
condrmaxlin
Conditional simulation of max-linear random fields
fitcopula
Fit a copula-based model to spatial extremes
fitcovariance
Estimates the covariance function for the Schlather's model
madogram
Computes madograms
rgp
Gaussian Random Fields Simulation