fpROC: Fast Partial Receiver Operating Characteristic (ROC) Test for Ecological Niche Modeling

Provides optimized 'C++' code for computing the partial Receiver Operating Characteristic (ROC) test used in niche and species distribution modeling. The implementation follows Peterson et al. (2008) <doi:10.1016/j.ecolmodel.2007.11.008>. Parallelization via 'OpenMP' was implemented with assistance from the 'DeepSeek' Artificial Intelligence Assistant (<https://www.deepseek.com/>).

Version: 0.1.0
Imports: Rcpp (≥ 1.0.7), stats, terra
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2025-07-16
DOI: 10.32614/CRAN.package.fpROC
Author: Luis Osorio-Olvera ORCID iD [aut, cre], Marlon E. Cobos ORCID iD [aut], Rusby G. Contreras-Díaz ORCID iD [aut], Weverton Trindade ORCID iD [ctb], Luis F. Arias-Giraldo ORCID iD [ctb]
Maintainer: Luis Osorio-Olvera <luismurao at gmail.com>
BugReports: https://github.com/luismurao/fpROC/issues
License: GPL-3
URL: https://luismurao.github.io/fpROC/
NeedsCompilation: yes
SystemRequirements: GNU make, OpenMP, TBB
Materials: README NEWS
CRAN checks: fpROC results

Documentation:

Reference manual: fpROC.html

Downloads:

Package source: fpROC_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): fpROC_0.1.0.tgz, r-oldrel (x86_64): fpROC_0.1.0.tgz

Linking:

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