# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "BORG" in publications use:' type: software license: MIT title: 'BORG: Bounded Outcome Risk Guard for Model Evaluation' version: 0.3.1 identifiers: - type: doi value: 10.32614/CRAN.package.BORG abstract: Comprehensive toolkit for valid spatial, temporal, and grouped model evaluation. Automatically detects data dependencies (spatial autocorrelation, temporal structure, clustered observations), generates appropriate cross-validation schemes (spatial blocking, checkerboard, hexagonal, KNNDM, environmental blocking, leave-location-out, purged CV), and validates evaluation pipelines for leakage. Includes area of applicability (AOA) assessment following Meyer & Pebesma (2021) , forward feature selection with blocked CV, spatial thinning, block-permutation variable importance, extrapolation detection, and interactive visualizations. Integrates with 'tidymodels', 'caret', 'mlr3', 'ENMeval', and 'biomod2'. Based on evaluation principles described in Roberts et al. (2017) , Kaufman et al. (2012) , Kapoor & Narayanan (2023) , and Linnenbrink et al. (2024) . authors: - family-names: Colling given-names: Gilles email: gilles.colling051@gmail.com orcid: https://orcid.org/0000-0003-3070-6066 preferred-citation: type: manual title: 'BORG: Bounded Outcome Risk Guard for Model Evaluation' authors: - family-names: Colling given-names: Gilles email: gilles.colling051@gmail.com orcid: https://orcid.org/0000-0003-3070-6066 year: '2026' url: https://github.com/gcol33/BORG notes: R package version 0.2.3 repository: https://gcol33.r-universe.dev repository-code: https://github.com/gcol33/BORG commit: 5e8b26b9aab5d8accf764c22a85038cc3006eba7 url: https://gillescolling.com/BORG/ date-released: '2026-05-29' contact: - family-names: Colling given-names: Gilles email: gilles.colling051@gmail.com orcid: https://orcid.org/0000-0003-3070-6066