texmex: Statistical Modelling of Extreme Values
Version 2.4

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 (2003) 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 (2004) , with graphical tools for threshold selection and to diagnose estimation convergence.

Package details

AuthorHarry Southworth [aut, cre], Janet E. Heffernan [aut], Paul D. Metcalfe [aut], Yiannis Papastathopoulos [ctb], Alec Stephenson [ctb], Stuart Coles [ctb]
Date of publication2017-11-16 15:41:18 UTC
MaintainerHarry Southworth <[email protected]>
LicenseGPL (>= 2)
Version2.4
URL https://github.com/harrysouthworth/texmex
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("texmex")

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texmex documentation built on Nov. 17, 2017, 5:11 a.m.