PresenceAbsence R package - Presence-Absence Model Evaluation

The package provides a set of functions useful when evaluating the results of presence-absence models. It 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 calculates 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).

Date ( Publication): 2023-01-07

Status: Completed

Author

- Elizabeth Freeman

Keywords: modelling

Keywords: presence-absensce model evaluation

Keywords: threshold dependent measures

Keywords: confusion matrices

Keywords: pcc

Keywords: sensitivity

Keywords: specificity

Keywords: Kappa

Keywords: ROC curves

Keywords: R

Access constraints: License

Use limitation: Unlimited

OnLine resource: CRAN link (
WWW:LINK-1.0-http--link
)

Required Services: R (≥ 2.2.0)

Topic Category: Species distribution

Service Category: model evaluation

Service Category: model validation

Service Category: modelling

Service Language: eng

Service TRL: TRL 9 – Actual system proven in operational environment

Service User Manual: https://cran.r-project.org/web/packages/PresenceAbsence/PresenceAbsence.pdf

Metadata

File identifier: 408c39dd-af5c-4375-bcc9-8d9d8b5f57ba XML

Metadata language: en

Hierarchy level: Service

Metadata Schema Version: 1.1.11

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