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BORG  

Bounded Outcome Risk Guard for Model Evaluation
View on CRAN: Click here


Download and install BORG package within the R console
Install from CRAN:
install.packages("BORG")

Install from Github:
library("remotes")
install_github("cran/BORG")

Install by package version:
library("remotes")
install_version("BORG", "0.2.5")



Attach the package and use:
library("BORG")
Maintained by
Gilles Colling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-20
Latest Update: 2026-03-20
Description:
Automatically detects and enforces valid model evaluation by identifying information reuse between training and evaluation data. Guards against data leakage, look-ahead bias, and invalid cross-validation schemes that inflate performance estimates. Supports temporal, spatial, and grouped evaluation structures. Based on evaluation principles described in Roberts et al. (2017) <doi:10.1111/ecog.02881>, Kaufman et al. (2012) <doi:10.1145/2382577.2382579>, and Kapoor & Narayanan (2023) <doi:10.1016/j.patter.2023.100804>.
How to cite:
Gilles Colling (2026). BORG: Bounded Outcome Risk Guard for Model Evaluation. R package version 0.2.5, https://cran.r-project.org/web/packages/BORG. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.2.5 (2026-03-20 13:30)
Other packages that cited BORG R package
View BORG citation profile
Other R packages that BORG depends, imports, suggests or enhances
Complete documentation for BORG
Functions, R codes and Examples using the BORG R package
Full BORG package functions and examples
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