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| anova | Anova Tables |
| anova.maxstab | Anova Tables |
| anova.spatgev | 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 |
| dgev | The Generalized Extreme Value Distribution |
| dgpd | The Generalized Pareto Distribution |
| 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 |
| fitspatgev | MLE for a spatial GEV model |
| fmadogram | Computes the F-madogram |
| 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 |
| lmadogram | Computes the lambda-madogram |
| logLik | Extracts Log-Likelihood |
| logLik.maxstab | Extracts Log-Likelihood |
| lsmaxstab | Estimates the spatial dependence parameter of a max-stable process by minimizing least squares. |
| 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 |
| modeldef.lm | Define a model for the spatial behaviour of the GEV parameters |
| modeldef.rb | Define a model for the spatial behaviour of the GEV parameters |
| pgev | The Generalized Extreme Value Distribution |
| pgpd | The Generalized Pareto Distribution |
| predict.maxstab | Prediction of the max-stable marginal parameters |
| predict.pspline | Prediction of smoothing spline with radial basis functions |
| predict.spatgev | Prediction of the GEV parameters |
| print.maxstab | Printing objects of class "maxstab" |
| print.pspline | Printing objects of class "pspline" |
| print.spatgev | Printing objects of class "spatgev" |
| profile | Method for profiling fitted max-stable objects |
| profile.maxstab | Method for profiling fitted max-stable objects |
| profile2d | Method for profiling (in 2d) fitted max-stable objects |
| profile2d.maxstab | Method for profiling (in 2d) fitted max-stable objects |
| qgev | The Generalized Extreme Value Distribution |
| qgpd | The Generalized Pareto Distribution |
| qqextcoeff | QQ-plot for the extremal coefficient |
| qqgev | QQ-plot for the GEV parameters |
| rainfall | Summer annual maxima precipitation in Switzerland |
| rb | Creates a model using penalized smoothing splines |
| rbpspline | Fits a penalized spline with radial basis functions to data |
| rgev | The Generalized Extreme Value Distribution |
| rgp | Gaussian Random Fields Simulation |
| rgpd | The Generalized Pareto Distribution |
| rmaxstab | Simulation of Max-Stable Random Fields |
| SpatialExtremes | Analysis of Spatial Extremes |
| swiss | Map of the Switzerland. |
| swissalt | Elevation in Switzerland |
| TIC | Takeuchi's information criterion |
| TIC.default | Takeuchi's information criterion |
| vdc | Van der Corput Sequence |