Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
extRemes 2.0: An Extreme Value Analysis Package in R | Gilleland | Journal of Statistical Software
Authors: Eric Gilleland, Richard W. Katz
Title: extRemes 2.0: An Extreme Value Analysis Package in R
Abstract: This article describes the extreme value analysis (EVA) R package extRemes version 2.0, which is completely redesigned from previous versions. The functions primarily provide utilities for implementing univariate EVA, with a focus on weather and climate applications, including the incorporation of covariates, as well as some functionality for assessing bivariate tail dependence.

Page views:: 4045. Submitted: 2014-10-06. Published: 2016-08-30.
Paper: extRemes 2.0: An Extreme Value Analysis Package in R     Download PDF (Downloads: 9715)
Supplements:
extRemes_2.0-8.tar.gz: R source package Download (Downloads: 378; 343KB)
v72i08.R: R replication code Download (Downloads: 370; 10KB)
DOI: 10.18637/jss.v072.i08

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.