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fpROC: Fast Partial Receiver Operating Characteristic (ROC) Test forEcological 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-OlveraORCID iD [aut, cre], Marlon E. CobosORCID iD [aut], Rusby G. Contreras-DíazORCID iD [aut], Weverton TrindadeORCID iD [ctb], Luis F. Arias-GiraldoORCID 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 ,fpROC.pdf

Downloads:

Package source: fpROC_0.1.0.tar.gz
Windows binaries: r-devel:fpROC_0.1.0.zip, r-release:fpROC_0.1.0.zip, r-oldrel:fpROC_0.1.0.zip
macOS binaries: r-release (arm64):fpROC_0.1.0.tgz, r-oldrel (arm64):fpROC_0.1.0.tgz, r-release (x86_64):fpROC_0.1.0.tgz, r-oldrel (x86_64):fpROC_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=fpROCto link to this page.


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