 How to treat missing values. See <code><a rd-options="" href="/link/rank?package=texmex&version=2.1" data-mini-rdoc="texmex::rank">rank</a></code>
                  for details. 

na.last


  Compute the empirical distribution function


 univar 

Statistical extreme value modelling of threshold excesses,
maxima and multivariate extremes.  Univariate models for threshold
excesses and maxima are the Generalised Pareto, and Generalised
Extreme Value model respectively.  These models may be fitted by
using maximum (optionally penalised-)likelihood, or Bayesian
estimation, and both classes of models may be fitted with covariates
in any/all model parameters.  Model diagnostics support the fitting
process. Graphical output for visualising fitted models and return
level estimates is provided.  For serially dependent sequences, the
intervals declustering algorithm of Ferro and Segers is provided,
with diagnostic support to aid selection of threshold and declustering
horizon.  Multivariate modelling is performed via the conditional
approach of Heffernan and Tawn, with graphical tools for threshold
selection and to diagnose estimation convergence.

edf: Compute empirical distribution function

Description

Usage

Arguments

Value

See Also

Examples