.exprel                 Accurately compute (exp(x) - 1) / x
.log1mexp               Accurately compute log(1-exp(x))
.log1prel               Accurately compute log(1 + x) / x
.specfun.safe.product   Compute pmax(x y, -1) in such a way that zeros
                        in x beat infinities in y.
AIC.evmOpt              Information Criteria
JointExceedanceCurve    Joint exceedance curves
MCS                     Multivariate conditional Spearman's rho
addExcesses             Annotate a threshold selection ggplot
bootmex                 Bootstrap a conditional multivariate extreme
                        values model
chi                     Measures of extremal dependence
copula                  Calculate the copula of a matrix of variables
cv                      Cross-validation for a model object
cv.evmOpt               Cross-validation for the shape parameter in an
                        extreme values model
degp3                   Density, cumulative density, quantiles and
                        random number generation for the extended
                        generalized Pareto distribution 3
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
dgumbel                 The Gumbel distribution
edf                     Compute empirical distribution function
egp3RangeFit            Estimate the EGP3 distribution power parameter
                        over a range of thresholds
endPoint                Calculate upper end point for a fitted extreme
                        value model
evm                     Extreme value modelling
evmBoot                 Bootstrap an evmOpt fit
evmSim                  MCMC simulation around an evmOpt fit
evmSimSetSeed           Set the seed from a fitted evmSim object.
extremalIndex           Extremal index estimation and automatic
                        declustering
ggplot.copula           Fancy plotting for copulas
ggplot.declustered      Diagnostic plots for an declustered object
ggplot.evmBoot          Diagnostic plots for the replicate estimated
                        parameter values in an evmBoot object
ggplot.evmOpt           Diagnostic plots for an evm object
ggplot.evmSim           Diagnostic plots for the Markov chains in an
                        evmSim object
ggplot.mex              Conditional multivariate extreme values
                        modelling
ggplot.migpd            Fit multiple independent generalized Pareto
                        models
ggplot.rl.evmOpt        Plotting function for return level estimation
gpd.prof                Profile likelihood based confidence intervals
                        for GPD
gpdRangeFit             Estimate generalized Pareto distribution
                        parameters over a range of values
liver                   Liver related laboratory data
logLik.evmOpt           Log-likelihood for evmOpt objects
makeReferenceMarginalDistribution
                        Provide full marginal reference distribution
                        for for maringal transformation
mexDependence           Estimate the dependence parameters in a
                        conditional multivariate extreme values model
mexMonteCarlo           Simulation from dependence models
mexRangeFit             Estimate dependence parameters in a conditional
                        multivariate extreme values model over a range
                        of thresholds.
migpdCoefs              Change values of parameters in a migpd object
mrl                     Mean residual life plot
plot.copula             Plot copulas
plot.evmOpt             Plots for evmOpt objects
plot.evmSim             Plots for evmSim objects
plot.lp.evmOpt          Predict return levels from extreme value
                        models, or obtain the linear predictors.
plot.rl.evmOpt          Return levels
print.evmOpt            Print evmOpt objects
rFrechet                Extreme Value random process generation.
rMaxAR                  Extreme Value random process generation.
rain, wavesurge and portpirie
                        Rain, wavesurge, portpirie and nidd datasets.
rglo                    Generalized logistic distribution
simulate.evmOpt         Simulate from a fitted evm object
summer and winter data
                        Air pollution data, separately for summer and
                        winter months
texmex-package          Extreme value modelling
texmexFamily            Create families of distributions
thinAndBurn             Process Metropolis output from extreme value
                        model fitting to discard unwanted observations.
