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 ORCID iD [aut, cre], Mohammed Shahidul Alam ORCID iD [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_0.1.9.zip, r-release: aLBI_0.1.9.zip, r-oldrel: aLBI_0.1.9.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:

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