| anova |
Anova Tables |
| anova.maxstab |
Anova Tables |
| anova.spatgev |
Anova Tables |
| concprob |
Pairwise empirical and extremal concurrence probabilities |
| concurrencemap |
Maps of concurrence probabilities/expected concurrence cell area |
| condmap |
Produces a conditional 2D map from a fitted max-stable process |
| condrgp |
Conditional simulation of Gaussian random fields |
| condrmaxlin |
Conditional simulation of max-linear random fields |
| condrmaxstab |
Conditional simulation of max-stable processes |
| 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 |
| DIC |
Deviance Information Criterion |
| distance |
Computes distance between pairs of locations |
| extcoeff |
Plots the extremal coefficient |
| fitcopula |
Fit a copula-based model to spatial extremes |
| 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 |
| kriging |
Simple kriging interpolation |
| latent |
Bayesian hierarchical models for spatial extremes |
| lmadogram |
Computes the lambda-madogram |
| logLik |
Extracts Log-Likelihood |
| logLik.copula |
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 |
| map.latent |
Two dimensional map from a Bayesian hierarchical model |
| 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 |
| plot.copula |
Model checking of a fitted copula based model. |
| plot.maxstab |
Model checking of a fitted max-stable model |
| predict |
Prediction of the marginal parameters for various models |
| predict.copula |
Prediction of the marginal parameters for various models |
| predict.maxstab |
Prediction of the marginal parameters for various models |
| predict.pspline2 |
Prediction of the marginal parameters for various models |
| predict.spatgev |
Prediction of the marginal parameters for various models |
| print |
Printing objects of classes defined in the SpatialExtreme packages |
| print.copula |
Printing objects of classes defined in the SpatialExtreme packages |
| print.latent |
Printing objects of classes defined in the SpatialExtreme packages |
| print.maxstab |
Printing objects of classes defined in the SpatialExtreme packages |
| print.pspline2 |
Printing objects of classes defined in the SpatialExtreme packages |
| print.spatgev |
Printing objects of classes defined in the SpatialExtreme packages |
| 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 |
| rcopula |
Simulation from copula based models with unit Frechet margins |
| rgev |
The Generalized Extreme Value Distribution |
| rgp |
Gaussian Random Fields Simulation |
| rgpd |
The Generalized Pareto Distribution |
| rmaxlin |
Simulation from max-linear models |
| rmaxstab |
Simulation of Max-Stable Random Fields |
| SpatialExtremes |
Analysis of Spatial Extremes |
| swiss |
Map of the Switzerland. |
| swissalt |
Elevation in Switzerland |
| symbolplot |
Detecting spatial trends graphically |
| TIC |
Takeuchi's information criterion |
| TIC.default |
Takeuchi's information criterion |
| USHCNTemp |
Summer/Winter annual maxima/minima temperature in continental US. |
| variogram |
Empirical variogram |
| vdc |
Van der Corput Sequence |
| wind |
Annual maxima wind gusts in the Netherlands. |