Provides functions for the selection of thresholds for use in extreme value models, based mainly on the methodology in Northrop, Attalides and Jonathan (2017) <doi:10.1111/rssc.12159>. It also performs predictive inferences about future extreme values, based either on a single threshold or on a weighted average of inferences from multiple thresholds, using the 'revdbayes' package <https://cran.r-project.org/package=revdbayes>. At the moment only the case where the data can be treated as independent identically distributed observations is considered. See the 'threshr' website for more information, documentation and examples.
Version: | 1.0.0 |
Depends: | R (≥ 3.3.1) |
Imports: | graphics, methods, revdbayes (≥ 1.2.0), rust (≥ 1.2.2), stats |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2017-09-04 |
Author: | Paul J. Northrop [aut, cre, cph], Nicolas Attalides [aut] |
Maintainer: | Paul J. Northrop <p.northrop at ucl.ac.uk> |
BugReports: | http://github.com/paulnorthrop/threshr/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://github.com/paulnorthrop/threshr |
NeedsCompilation: | no |
Materials: | README |
In views: | ExtremeValue |
CRAN checks: | threshr results |
Reference manual: | threshr.pdf |
Vignettes: |
Introducing threshr: Threshold Selection and Uncertainty for Extreme Value Analysis |
Package source: | threshr_1.0.0.tar.gz |
Windows binaries: | r-devel: threshr_1.0.0.zip, r-release: threshr_1.0.0.zip, r-oldrel: threshr_1.0.0.zip |
OS X El Capitan binaries: | r-release: threshr_1.0.0.tgz |
OS X Mavericks binaries: | r-oldrel: threshr_1.0.0.tgz |
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