texmex: Statistical modelling of extreme values

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.

Version: 2.1
Depends: mvtnorm
Suggests: MASS, lattice, knitr
Published: 2013-12-31
Author: Harry Southworth, Janet E. Heffernan
Maintainer: Harry Southworth <harry.southworth at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://code.google.com/p/texmex/
NeedsCompilation: yes
Citation: texmex citation info
CRAN checks: texmex results


Reference manual: texmex.pdf
Package source: texmex_2.1.tar.gz
Windows binaries: r-devel: texmex_2.1.zip, r-release: texmex_2.1.zip, r-oldrel: texmex_2.1.zip
OS X Snow Leopard binaries: r-release: texmex_2.1.tgz, r-oldrel: texmex_2.1.tgz
OS X Mavericks binaries: r-release: texmex_2.1.tgz
Old sources: texmex archive