extremes 2.0: an extreme value analysis package in r

extremes 2.0: an extreme value analysis package in r

;Eric Gilleland;Richard W. Katz
open geospatial data, software and standards 2016 Vol. 72 pp. 1-39
127
gilleland2016journalextremes

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.

Keywords

Citation

ID: 229434
Ref Key: gilleland2016journalextremes
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
229434
Unique Identifier:
10.18637/jss.v072.i08
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet