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PresenceAbsence (version 1.1.9)

Presence-Absence Model Evaluation.

Description

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).

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Version

Install

install.packages('PresenceAbsence')

Monthly Downloads

3,197

Version

1.1.9

License

Unlimited

Last Published

August 17th, 2012

Functions in PresenceAbsence (1.1.9)

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
Kappa

Kappa
auc

Area Under the Curve
sensitivity

Sensitivity
specificity

Specificity
pcc

Percent Correctly Classified