MCS                     Multivariate conditional Spearman's rho
addCov                  Worker functions for prediction
bootmex                 Bootstrap a conditional multivariate extreme
                        values model
chi                     Measures of extremal dependence
coef.evmSim             Methods for texmex objects
copula                  Calculate the copula of a matrix of variables
dgev                    Density, cumulative density, quantiles and
                        random number generation for the generalized
                        extreme value distribution
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 a fitted extreme
                        value model
evm                     Extreme value modelling
evmSimSetSeed           Set the seed from a fitted evmSim object.
extremalIndex           Extremal index estimation and automatic
                        declustering
gpdRangeFit             Estimate generalized Pareto distribution
                        parameters over a range of values
hist.evmOpt             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
mrl                     Mean residual life plot
predict.evmOpt          Predict return levels from extreme value
                        models, or obtain the linear predictors.
rain                    Rain, wavesurge and portpirie datasets.
rl                      Return levels
summer                  Air pollution data, separately for summer and
                        winter months
texmex-package          Extreme value modelling
texmexFamily            Create families of distributions
texmexMethod            Worker functions for texmex
thinAndBurn             Process Metropolis output from extreme value
                        model fitting to discard unwanted observations.
