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  • 标题:extRemes 2.0: An Extreme Value Analysis Package in R
  • 本地全文:下载
  • 作者:Eric Gilleland ; Richard W. Katz
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2016
  • 卷号:72
  • 期号:1
  • 页码:1-39
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要: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.
  • 关键词:extreme value analysis;R
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