Package: PresenceAbsence 1.1.11

Elizabeth Freeman

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).

Authors:Elizabeth Freeman

PresenceAbsence_1.1.11.tar.gz
PresenceAbsence_1.1.11.tar.gz(r-4.5-noble)PresenceAbsence_1.1.11.tar.gz(r-4.4-noble)
PresenceAbsence_1.1.11.tgz(r-4.4-emscripten)PresenceAbsence_1.1.11.tgz(r-4.3-emscripten)
PresenceAbsence.pdf |PresenceAbsence.html
PresenceAbsence/json (API)

# Install 'PresenceAbsence' in R:
install.packages('PresenceAbsence', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • SIM3DATA - Simulated Presence-Absence Data
  • SPDATA - Species Presence/Absence Data
  • SPPREV - Overall Preavalences for Species Presence/Absence Data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5.26 score 1 stars 9 packages 208 scripts 3.2k downloads 41 mentions 16 exports 0 dependencies

Last updated 2 years agofrom:231cfc9e54. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-linuxOKNov 19 2024

Exports:aucauc.roc.plotcalibration.plotcmxerror.threshold.plotKappaoptimal.thresholdspccpredicted.prevalencepresence.absence.accuracypresence.absence.histpresence.absence.simulationpresence.absence.summaryroc.plot.calculatesensitivityspecificity

Dependencies: