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SpatialExtremes (version 2.0-0)
Modelling Spatial Extremes
Description
This package proposes several approaches for spatial extremes modelling.
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Install
install.packages('SpatialExtremes')
Monthly Downloads
803
Version
2.0-0
License
GPL (>= 2)
Maintainer
Mathieu Ribatet
Last Published
March 4th, 2013
Functions in SpatialExtremes (2.0-0)
Search functions
TIC
Takeuchi's information criterion
Generalized Extreme Value Distribution
The Generalized Extreme Value Distribution
fitcopula
Fit a copula-based model to spatial extremes
qqgev
QQ-plot for the GEV parameters
lmadogram
Computes the lambda-madogram
condrmaxlin
Conditional simulation of max-linear random fields
gcv
Estimates the penalty coefficient from the generalized cross-validation criterion
fitcovariance
Estimates the covariance function for the Schlather's model
DIC
Deviance Information Criterion
print.copula
Printing objects of class copula''
extcoeff
Plots the extremal coefficient
logLik
Extracts Log-Likelihood
modeldef
Define a model for the spatial behaviour of the GEV parameters
rbpspline
Fits a penalized spline with radial basis functions to data
fitmaxstab
Fits a max-stable process to data
profile2d
Method for profiling (in 2d) fitted max-stable objects
qqextcoeff
QQ-plot for the extremal coefficient
kriging
Simple kriging interpolation
fmadogram
Computes the F-madogram
condmap
Produces a conditional 2D map from a fitted max-stable process
distance
Computes distance between pairs of locations
predict.spatgev
Prediction of the GEV parameters
latent
Bayesian hierarchical models for spatial extremes
cv
Estimates the penalty coefficient from the cross-validation criterion
profile
Method for profiling fitted max-stable objects
print.maxstab
Printing objects of class ``maxstab''
rmaxlin
Simulation from max-linear models
rgp
Gaussian Random Fields Simulation
SpatialExtremes
Analysis of Spatial Extremes
anova
Anova Tables
Generalized Pareto Distribution
The Generalized Pareto Distribution
fitspatgev
MLE for a spatial GEV model
print.latent
Printing objects of class ``latent''
fitextcoeff
Non parametric estimators of the extremal coefficient function
condrgp
Conditional simulation of Gaussian random fields
fitcovmat
Estimates the covariance matrix for the Smith's model
gev2frech
Transforms GEV data to unit Frechet ones and vice versa
predict.maxstab
Prediction of the max-stable marginal parameters
condrmaxstab
Conditional simulation of max-stable processes
lsmaxstab
Estimates the spatial dependence parameter of a max-stable process by minimizing least squares.
variogram
Empirical variogram
swissalt
Elevation in Switzerland
plot.maxstab
Model checking of a fitted max-stable model
Internal functions and methods
Internal functions and methods for the maxstable package.
rmaxstab
Simulation of Max-Stable Random Fields
madogram
Computes madograms
map.latent
Two dimensional map from a Bayesian hierarchical model
map
Produces a 2D map from a fitted max-stable process
plot.copula
Model checking of a fitted copula based model.
swiss
Map of the Switzerland.
margin fits
Fits univariate extreme value distributions to data
rainfall
Summer annual maxima precipitation in Switzerland
print.spatgev
Printing objects of class ''spatgev''
predict.copula
Prediction of the copula marginal parameters
rcopula
Simulation from copula based models with unit Frechet margins
print.pspline
Printing objects of class ``pspline''
vdc
Van der Corput Sequence
predict.pspline
Prediction of smoothing spline with radial basis functions
rb
Creates a model using penalized smoothing splines
covariance
Defines and computes covariance functions