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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
Author: Edoardo Vignotto ORCID iD [aut, cre]
Maintainer: Edoardo Vignotto <edoardo.vignotto at unige.ch>
License: GPL-3
NeedsCompilation: no
CRAN checks: evtclass results

Documentation:

Reference manual: 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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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