Details. presence.absence.accuracy calculates five standard accuracy measures for presence absence data, and (optionally) their associated standard deviations. Function will work for one model and multiple thresholds, or one threshold and multiple models, or multiple models each with their own threshold. Depending on the size of the dataset and the …
R presence.absence.accuracy Calculates five accuracy measures (pcc, sensitivity, specificity, Kappa, and AUC) for Presence/Absence data, and (optionally) their associated standard deviations. presence.absence.accuracy is located in package PresenceAbsence .
Details. presence.absence.accuracy calculates five standard accuracy measures for presence absence data, and (optionally) their associated standard deviations. Function will work for one model and multiple thresholds, or one threshold and multiple models, or multiple models each with their own threshold. Depending on the size of the dataset and the …
The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of …
threshold cutoff values between zero and one used for translating predicted probabilities into 0 /1 values, defaults to 0.5. It can be a single value between zero and one, a vector of values between zero and one, or a positive integer representing the number of evenly spaced thresholds to calculate.
presence.absence.accuracy function | R Documentation, PresenceAbsence-package function | R Documentation, PresenceAbsence-package: 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.
DeLong, E. R .
Delong, D.M. and Clarke-Pearson, D.L.
1988. Comparing areas under two or more correlated Receiver Operating Characteristic curves: a nonparametric approach. Biometrics, 44(3):837-845. Splus ROC library developed by Beth Atkinson and Doug Mahoney at the Mayo Clinic is available, R /presence. absence .summary. R defines the following functions: Any scripts or data that you put into this service are public.
