PresenceAbsence: Presence-Absence Model Evaluation

This package 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: 1.1.9
Depends: R (≥ 2.2.0)
Published: 2012-08-17
Author: Elizabeth Freeman
Maintainer: Elizabeth Freeman <eafreeman at fs.fed.us>
License: Unlimited
NeedsCompilation: no
Citation: PresenceAbsence citation info
Materials: ChangeLog
CRAN checks: PresenceAbsence results

Downloads:

Reference manual: PresenceAbsence.pdf
Package source: PresenceAbsence_1.1.9.tar.gz
Windows binaries: r-devel: PresenceAbsence_1.1.9.zip, r-release: PresenceAbsence_1.1.9.zip, r-oldrel: PresenceAbsence_1.1.9.zip
OS X Snow Leopard binaries: r-release: PresenceAbsence_1.1.9.tgz, r-oldrel: PresenceAbsence_1.1.9.tgz
OS X Mavericks binaries: r-release: PresenceAbsence_1.1.9.tgz
Old sources: PresenceAbsence archive

Reverse dependencies:

Reverse depends: KappaV
Reverse imports: ModelMap