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kbaabb: Generates an Artificial Population Based on the KBAABB Methodology

Provides tools for generating an artificial population based on a kNN-based approximation to the approximate Bayesian bootstrap (KBAABB). This methodology is described in White et al. (2025) <doi:10.1093/forestry/cpaf071>.

Version: 0.0.1
Depends: R (≥ 2.10)
Imports: FNN
Published: 2026-10-21
DOI: 10.32614/CRAN.package.kbaabb
Author: Grayson W. White ORCID iD [aut, cre], Jerzy A. Wieczorek [aut], Leland Russell [aut], Samantha Schroeder [aut], Tracey S. Frescino [aut], Kelly S. McConville [aut]
Maintainer: Grayson W. White <graysonwhite13 at gmail.com>
License: CC0
NeedsCompilation: no
Materials: README
CRAN checks: kbaabb results

Documentation:

Reference manual: kbaabb.html , kbaabb.pdf

Downloads:

Package source: kbaabb_0.0.1.tar.gz
Windows binaries: r-devel: kbaabb_0.0.1.zip, r-release: kbaabb_0.0.1.zip, r-oldrel: kbaabb_0.0.1.zip
macOS binaries: r-release (arm64): kbaabb_0.0.1.tgz, r-oldrel (arm64): kbaabb_0.0.1.tgz, r-release (x86_64): kbaabb_0.0.1.tgz, r-oldrel (x86_64): kbaabb_0.0.1.tgz

Linking:

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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.