Package: fExtremes Title: Rmetrics - Modelling Extreme Events in Finance Version: 4032.84 Authors@R: c(person("Diethelm", "Wuertz", role = "aut") , person("Tobias", "Setz", role = "aut") , person("Yohan", "Chalabi", role = "aut") , person(given = c("Paul", "J."), family = "Northrop", role = c("cre", "ctb"), email = "p.northrop@ucl.ac.uk") ) Description: Provides functions for analysing and modelling extreme events in financial time Series. The topics include: (i) data pre-processing, (ii) explorative data analysis, (iii) peak over threshold modelling, (iv) block maxima modelling, (v) estimation of VaR and CVaR, and (vi) the computation of the extreme index. Depends: R (>= 2.15.1) Imports: fBasics, fGarch (>= 4031.90), graphics, methods, stats, timeDate, timeSeries Suggests: RUnit, tcltk LazyData: yes License: GPL (>= 2) URL: https://www.rmetrics.org BugReports: https://r-forge.r-project.org/projects/rmetrics Repository: https://r-forge.r-universe.dev Date/Publication: 2026-02-21 23:23:40 UTC RemoteUrl: https://github.com/r-forge/rmetrics RemoteRef: HEAD RemoteSha: d8bc4aeb583742e52170b581b908108e0282bf7b RemoteSubdir: pkg/fExtremes NeedsCompilation: no Packaged: 2026-05-28 06:39:07 UTC; root Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul J. Northrop [cre, ctb] Maintainer: Paul J. Northrop