MCS                     Multivariate conditional Spearman's rho
bgpdSetSeed             Set the seed from a fitted bgpd object.
bootgpd                 Parametric bootstrap for generalized Pareto
                        models
bootmex                 Bootstrap a conditional multivariate extreme
                        values model
chi                     Measures of extremal dependence
coef.bgpd               Methods for texmex objects
copula                  Calculate the copula of a matrix of variables
dgpd                    Density, cumulative density, quantiles and
                        random number generation for the generalized
                        Pareto distribution
edf                     Compute empirical distribution function
endPoint                Calculate upper end point for fitted GPD
extremalIndex           Extremal index estimation and automatic
                        declustering
gpd                     Generalized Pareto distribution modelling
gpdRangeFit             Estimate generalized Pareto distribution
                        parameters over a range of values
hist.gpd                Internal functions for texmex
liver                   Liver related laboratory data
mex                     Conditional multivariate extreme values
                        modelling
mexDependence           Estimate the dependence parameters in a
                        conditional multivariate extreme values model
mexRangeFit             Estimate dependence parameters in a conditional
                        multivariate extreme values model over a range
                        of thresholds.
migpd                   Fit multiple independent generalized Pareto
                        models
migpdCoefs              Change values of parameters in a migpd object
mrlPlot                 Mean residual life plot
predict.gpd             Predict return levels from Generalized Pareto
                        Distribution models, or obtain the linear
                        predictors.
rain                    Rain and wavesurge datasets.
rl                      Return levels
summer                  Air pollution data, separately for summer and
                        winter months
texmex-package          Conditional multivariate extreme values
                        modelling.
thinAndBurn             Process Metropolis output from GPD fitting to
                        discard unwanted observations.
validate.texmex         Validate the texmex package
