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PresenceAbsence
View on CRAN: Click
here
Download and install PresenceAbsence package within the R console
Install from CRAN:
install.packages("PresenceAbsence")
Install from Github:
library("remotes")
install_github("cran/PresenceAbsence")
Install by package version:
library("remotes")
install_version("PresenceAbsence", "1.1.11")
Attach the package and use:
library("PresenceAbsence")
Maintained by
Elizabeth Freeman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-02-23
Latest Update: 2023-01-07
Description:
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).
How to cite:
Elizabeth Freeman (2007). PresenceAbsence: Presence-Absence Model Evaluation. R package version 1.1.11, https://cran.r-project.org/web/packages/PresenceAbsence. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for PresenceAbsence
Functions, R codes and Examples using
the PresenceAbsence R package
Some associated functions: Kappa . PresenceAbsence.package . SIM3DATA . SPDATA . SPPREV . auc . auc.roc.plot . calibration.plot . cmx . error.threshold.plot . optimal.thresholds . pcc . predicted.prevalence . presence.absence.accuracy . presence.absence.hist . presence.absence.simulation . presence.absence.summary . roc.plot.calculate . sensitivity . specificity .
Some associated R codes: Kappa.R . auc.R . auc.roc.plot.R . calibration.plot.R . cmx.R . error.threshold.plot.R . optimal.thresholds.R . pcc.R . predicted.prevalence.R . presence.absence.accuracy.R . presence.absence.hist.R . presence.absence.simulation.R . presence.absence.summary.R . roc.plot.calculate.R . sensitivity.R . specificity.R . Full PresenceAbsence package functions and examples
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