evtclass: Extreme Value Theory for Open Set Classification - GPD and GEV Classifiers
Two classifiers for open set recognition and novelty detection based on extreme value theory. The first classifier is based on the generalized Pareto distribution (GPD) and the second classifier is based on the generalized extreme value (GEV) distribution. For details, see Vignotto, E., & Engelke, S. (2018) <doi:10.48550/arXiv.1808.09902>.
| Version: | 1.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | RANN, evd, fitdistrplus |
| Published: | 2018-11-16 |
| DOI: | 10.32614/CRAN.package.evtclass |
| Author: | Edoardo Vignotto 
[aut, cre] |
| Maintainer: | Edoardo Vignotto <edoardo.vignotto at unige.ch> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | AnomalyDetection |
| CRAN checks: | evtclass results |
Documentation:
| Reference manual: | evtclass.html , evtclass.pdf |
Downloads:
| Package source: | evtclass_1.0.tar.gz |
| Windows binaries: | r-devel: evtclass_1.0.zip, r-release: evtclass_1.0.zip, r-oldrel: evtclass_1.0.zip |
| macOS binaries: | r-release (arm64): evtclass_1.0.tgz, r-oldrel (arm64): evtclass_1.0.tgz, r-release (x86_64): evtclass_1.0.tgz, r-oldrel (x86_64): evtclass_1.0.tgz |
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