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fExtremes

R package fExtremes: Rmetrics - Extreme Financial Market Data. Environment for teaching ”Financial Engineering and Computational Finance”

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

  • R package
  • R
  • nonparametric estimation
  • EVA
  • value at risk
  • weather
  • tail conditional probabilities
  • expected shortfall
  • jstatsoft
  • application
  • statistical computing
  • case study
  • univariate EVA
  • extreme value analysis
  • spatial extremes
  • extreme value theory
  • software development
  • climate
  • generalized Pareto distribution
  • Journal of Statistical Software
  • parametric distributions
  • Student’s (t) distribution
  • degree of freedom
  • extreme conditional quantile
  • adaptive estimation

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Diethelm Wuertz
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
y Sorted by year (citations)

  1. Gilles Durrieu, Ion Grama, Kevin Jaunatre, Quang-Khoai Pham, Jean-Marie Tricot: extremefit: A Package for Extreme Quantiles (2018) not zbMATH
  2. Brian Bader: Automated, Efficient, and Practical Extreme Value Analysis with Environmental Applications (2016) arXiv
  3. Chan, Stephen; Nadarajah, Saralees; Afuecheta, Emmanuel: An \textttRpackage for value at risk and expected shortfall (2016)
  4. Eric Gilleland and Richard Katz: extRemes 2.0: An Extreme Value Analysis Package in R (2016) not zbMATH
  5. Gilleland, Eric; Ribatet, Mathieu; Stephenson, Alec G.: A software review for extreme value analysis (2013)
  6. Nadarajah, Saralees; Afuecheta, Emmanuel; Chan, Stephen: A double generalized Pareto distribution (2013)

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 60 Probability theory and...
      • 62 Statistics
      • 91 Game theory, economics,...

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    • 2005 - 2009
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