Package: vandalico 0.1.0

vandalico: Evaluation of Presence-Absence Models

Collection of functions to evaluate presence-absence models. It comprises functions to adjust discrimination statistics for the representativeness effect through case-weighting, along with functions for visualizing the outcomes. Originally outlined in: Jiménez-Valverde (2022) The uniform AUC: dealing with the representativeness effect in presence-absence models. Methods Ecol. Evol, 13, 1224-1236.

Authors:Alberto Jiménez-Valverde [aut, cre]

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NEWS

# Install 'vandalico' in R:
install.packages('vandalico', repos = c('https://ajimenezvalverde.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.09 score 6 dependencies 232 downloads

Last updated 11 days agofrom:1c054c5e15. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winOKSep 07 2024
R-4.5-linuxOKSep 07 2024
R-4.4-winOKSep 07 2024
R-4.4-macOKSep 07 2024
R-4.3-winOKSep 07 2024
R-4.3-macOKSep 07 2024

Exports:AUCuniformAUCuniform_trapCALplotHSgraph

Dependencies:bitopscaToolsgplotsgtoolsKernSmoothROCR