extRemes 2.0: An Extreme Value Analysis Package in R
Eric Gilleland, Richard W. Katz
Journal of Statistical Software · 2016
doi:10.18637/jss.v072.i08 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
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.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.