The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
extRemes 2.0: An Extreme Value Analysis Package in R
Open accessAbstract
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.
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Cites
An Introduction to Statistical Modeling of Extreme Values
Coles, S. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4471-3675-0 · Cited by 7,352
Cited by
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Veh, G., Korup, O., & Walz, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914898117 · Cited by 346
Das, J., & Umamahesh, N. V. (2017) · Journal of Hydrologic Engineering · doi:10.1061/(asce)he.1943-5584.0001571 · Cited by 41
A practice-oriented framework for stationary and nonstationary flood frequency analysis
Vidrio-Sahagún, C. T., Ruschkowski, J., He, J., & Pietroniro, A. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.105940 · Cited by 20
Metadata
- Authors
- Gilleland, E., & Katz, R. W.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2016
- Volume
- 72
- Issue
- 8
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2516934950
- Cited by
- 613
- References
- 1
- FWCI
- 34.58
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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