aLBI: Estimating Length-Based Indicators for Fish Stock Assessment

Provides tools for estimating length-based indicators (LBIs) from length-frequency data to assess fish stock status and evaluate growth and recruitment overfishing in data-limited fisheries. Implements the sustainability indicators of Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x>, empirical biological reference points from Froese and Binohlan (2000) <doi:10.1111/j.1095-8649.2000.tb00870.x>, and the decision framework of Cope and Punt (2009) <doi:10.1577/C08-025.1>. Incorporates a three-tier Monte Carlo and bootstrap uncertainty propagation framework for sustainability indicators, optimum bin size calculations following Wang et al. (2020) <doi:10.1016/j.fishres.2019.105474>, multi-month length-frequency harmonization, and length-weight relationship fitting. Methodology is detailed in Ali et al. (2025) <doi:10.1016/j.fishres.2025.107467>.

Version:	0.2.0
Depends:	R (≥ 4.0.0)
Imports:	ggplot2, graphics, grDevices, openxlsx, stats, utils
Suggests:	dplyr, knitr, readxl, rmarkdown, testthat
Published:	2026-09-26
DOI:	10.32614/CRAN.package.aLBI
Author:	Ataher Ali [aut, cre], Mohammed Shahidul Alam [aut]
Maintainer:	Ataher Ali <ataher.cu.ms at gmail.com>
BugReports:	https://github.com/Ataher76/aLBI/issues
License:	GPL-3
URL:	https://github.com/Ataher76/aLBI
NeedsCompilation:	no
Materials:	README
CRAN checks:	aLBI results

Documentation:

Reference manual:	aLBI.html , aLBI.pdf
Vignettes:	aLBI: Length-Based Indicators and Fish Stock Assessment in R (source, R code)

Downloads:

Package source:	aLBI_0.2.0.tar.gz
Windows binaries:	r-devel: aLBI_0.2.0.zip, r-release: aLBI_0.2.0.zip, r-oldrel: aLBI_0.2.0.zip
macOS binaries:	r-release (arm64): aLBI_0.2.0.tgz, r-oldrel (arm64): aLBI_0.2.0.tgz, r-release (x86_64): aLBI_0.2.0.tgz, r-oldrel (x86_64): aLBI_0.2.0.tgz
Old sources:	aLBI archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=aLBI to link to this page.