anova |
Anova Tables |
condmap |
Produces a conditional 2D map from a fitted max-stable process |
covariance |
Defines and computes covariance functions |
cv |
Estimates the penalty coefficient from the cross-validation criterion |
distance |
Computes distance between pairs of locations |
extcoeff |
Plots the extremal coefficient |
fitcovariance |
Estimates the covariance function for the Schlather's model |
fitcovmat |
Estimates the covariance matrix for the Smith's model |
fitextcoeff |
Non parametric estimators of the extremal coefficient function |
fitmaxstab |
Fits a max-stable process to data |
frech2gev |
Transforms GEV data to unit Frechet ones and vice versa |
gcv |
Estimates the penalty coefficient from the generalized cross-validation criterion |
gev2frech |
Transforms GEV data to unit Frechet ones and vice versa |
gevmle |
Fits univariate extreme value distributions to data |
gpdmle |
Fits univariate extreme value distributions to data |
logLik |
Extracts Log-Likelihood |
madogram |
Computes madograms |
map |
Produces a 2D map from a fitted max-stable process |
modeldef |
Define a model for the spatial behaviour of the GEV parameters |
predict.maxstab |
Prediction of the max-stable marginal parameters |
predict.pspline |
Prediction of smoothing spline with radial basis functions |
print.maxstab |
Printing objects of class “maxstab” |
print.pspline |
Printing objects of class “pspline” |
profile |
Method for profiling fitted max-stable objects |
profile2d |
Method for profiling (in 2d) fitted max-stable objects |
rb |
Creates a model using penalized smoothing splines |
rbpspline |
Fits a penalized spline with radial basis functions to data |
SpatialExtremes |
Analysis of Spatial Extremes |
TIC |
Takeuchi's information criterion |