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SpatialExtremes (version 2.0-2)
Modelling Spatial Extremes
Description
Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models.
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Install
install.packages('SpatialExtremes')
Monthly Downloads
814
Version
2.0-2
License
GPL (>= 2)
Maintainer
Mathieu Ribatet
Last Published
June 11th, 2015
Functions in SpatialExtremes (2.0-2)
Search functions
DIC
Deviance Information Criterion
plot.copula
Model checking of a fitted copula based model.
plot.maxstab
Model checking of a fitted max-stable model
swiss
Map of the Switzerland.
TIC
Takeuchi's information criterion
anova
Anova Tables
fitspatgev
MLE for a spatial GEV model
SpatialExtremes
Analysis of Spatial Extremes
vdc
Van der Corput Sequence
cv
Estimates the penalty coefficient from the cross-validation criterion
rbpspline
Fits a penalized spline with radial basis functions to data
condrmaxlin
Conditional simulation of max-linear random fields
fitcopula
Fit a copula-based model to spatial extremes
lsmaxstab
Estimates the spatial dependence parameter of a max-stable process by minimizing least squares.
fitmaxstab
Fits a max-stable process to data
rmaxstab
Simulation of Max-Stable Random Fields
USHCNTemp
Summer/Winter annual maxima/minima temperature in continental US.
Internal functions and methods
Internal functions and methods for the maxstable package.
distance
Computes distance between pairs of locations
fitcovariance
Estimates the covariance function for the Schlather's model
rainfall
Summer annual maxima precipitation in Switzerland
logLik
Extracts Log-Likelihood
print
Printing objects of classes defined in the SpatialExtreme packages
rcopula
Simulation from copula based models with unit Frechet margins
fitcovmat
Estimates the covariance matrix for the Smith's model
symbolplot
Detecting spatial trends graphically
modeldef
Define a model for the spatial behaviour of the GEV parameters
condmap
Produces a conditional 2D map from a fitted max-stable process
covariance
Defines and computes covariance functions
profile2d
Method for profiling (in 2d) fitted max-stable objects
condrmaxstab
Conditional simulation of max-stable processes
condrgp
Conditional simulation of Gaussian random fields
concurrencemap
Maps of concurrence probabilities/expected concurrence cell area
qqgev
QQ-plot for the GEV parameters
kriging
Simple kriging interpolation
rmaxlin
Simulation from max-linear models
map.latent
Two dimensional map from a Bayesian hierarchical model
qqextcoeff
QQ-plot for the extremal coefficient
latent
Bayesian hierarchical models for spatial extremes
rb
Creates a model using penalized smoothing splines
madogram
Computes madograms
lmadogram
Computes the lambda-madogram
concprob
Pairwise empirical and extremal concurrence probabilities
extcoeff
Plots the extremal coefficient
fmadogram
Computes the F-madogram
margin fits
Fits univariate extreme value distributions to data
rgp
Gaussian Random Fields Simulation
gcv
Estimates the penalty coefficient from the generalized cross-validation criterion
variogram
Empirical variogram
Generalized Pareto Distribution
The Generalized Pareto Distribution
predict
Prediction of the marginal parameters for various models
Generalized Extreme Value Distribution
The Generalized Extreme Value Distribution
map
Produces a 2D map from a fitted max-stable process
fitextcoeff
Non parametric estimators of the extremal coefficient function
gev2frech
Transforms GEV data to unit Frechet ones and vice versa
wind
Annual maxima wind gusts in the Netherlands.
profile
Method for profiling fitted max-stable objects
swissalt
Elevation in Switzerland