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:
vandalico_0.1.0.tar.gz
vandalico_0.1.0.zip(r-4.5)vandalico_0.1.0.zip(r-4.4)vandalico_0.1.0.zip(r-4.3)
vandalico_0.1.0.tgz(r-4.4-any)vandalico_0.1.0.tgz(r-4.3-any)
vandalico_0.1.0.tar.gz(r-4.5-noble)vandalico_0.1.0.tar.gz(r-4.4-noble)
vandalico_0.1.0.tgz(r-4.4-emscripten)vandalico_0.1.0.tgz(r-4.3-emscripten)
vandalico.pdf |vandalico.html✨
vandalico/json (API)
NEWS
# Install 'vandalico' in R: |
install.packages('vandalico', repos = c('https://ajimenezvalverde.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:1c054c5e15. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
R-4.4-win | OK | Nov 06 2024 |
R-4.4-mac | OK | Nov 06 2024 |
R-4.3-win | OK | Nov 06 2024 |
R-4.3-mac | OK | Nov 06 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculates the uniform _AUC_ and uniform _Se*_ | AUCuniform |
Calculates the uniform _AUC_ and uniform _Se*_ by the trapezoidal method. | AUCuniform_trap |
Calibration graph | CALplot |
Suitability values distribution graph | HSgraph |