PresenceAbsence: Presence-Absence Model Evaluation

Provides a set of functions useful when evaluating the results of presence-absence models. Package includes functions for calculating threshold dependent measures such as confusion matrices, pcc, sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It will calculate optimal threshold choice according to a choice of optimization criteria. It also includes functions to plot the threshold independent ROC curves along with the associated AUC (area under the curve).

Version: 1.1.10
Depends: R (≥ 2.2.0)
Published: 2022-03-02
Author: Elizabeth Freeman
Maintainer: Elizabeth Freeman <eafreeman at fs.fed.us>
License: Unlimited
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Citation: PresenceAbsence citation info
Materials: ChangeLog
CRAN checks: PresenceAbsence results

Documentation:

Reference manual: PresenceAbsence.pdf

Downloads:

Package source: PresenceAbsence_1.1.10.tar.gz
Windows binaries: r-devel: PresenceAbsence_1.1.10.zip, r-release: PresenceAbsence_1.1.10.zip, r-oldrel: PresenceAbsence_1.1.10.zip
macOS binaries: r-release (arm64): PresenceAbsence_1.1.10.tgz, r-oldrel (arm64): PresenceAbsence_1.1.10.tgz, r-release (x86_64): PresenceAbsence_1.1.10.tgz, r-oldrel (x86_64): PresenceAbsence_1.1.10.tgz
Old sources: PresenceAbsence archive

Reverse dependencies:

Reverse imports: biomod2, ebirdst, ecospat
Reverse suggests: BiodiversityR, spind

Linking:

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