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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
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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 |
Reference manual: | fpROC.html , fpROC.pdf |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.