PresenceAbsence v1.1.9


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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).

Functions in PresenceAbsence

Name Description
calibration.plot Calibration Plot
auc.roc.plot AUC ROC Plot
error.threshold.plot Error Threshold Plot
cmx Confusion Matrix
optimal.thresholds Calculate Optimal Thresholds
predicted.prevalence Predicted Prevalence
presence.absence.accuracy Accuracy Table for Presence/Absence Data
presence.absence.simulation Presence/Absence Data Simulation
presence.absence.summary Presence/Absence Summary Plots
presence.absence.hist Presence/Absence Histogram
SPPREV Overall Preavalences for Species Presence/Absence Data
SIM3DATA Simulated Presence-Absence Data
SPDATA Species Presence/Absence Data
PresenceAbsence-package Presence-Absence model evaluation
roc.plot.calculate ROC Plot Calculations
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Type Package
Date 2012-08-17
License Unlimited
Packaged 2012-08-17 18:15:00 UTC; eafreeman
Repository CRAN
Date/Publication 2012-08-17 18:47:44
depends R (>= 2.2.0)
Contributors Elizabeth Freeman

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