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 (may not be active yet)
Author:	Grayson W. White [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: not available, r-release: not available, r-oldrel: not available
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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