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cff-version: 1.2.0
message: 'To cite package "aLBI" in publications use:'
type: software
license: GPL-3.0-only
title: 'aLBI: Estimating Length-Based Indicators for Fish Stock'
version: 0.1.7
doi: 10.32614/CRAN.package.aLBI
abstract: 'Provides tools for estimating length-based indicators from length frequency
  data to assess fish stock status and manage fisheries sustainably. Implements methods
  from Cope and Punt (2009) <https://doi.org/10.1577/C08-025.1> for data-limited stock
  assessment and Froese (2004) <https://doi.org/10.1111/j.1467-2979.2004.00144.x>
  for detecting overfishing using simple indicators. Key functions include: FrequencyTable():
  Calculate the frequency table from the collected and also the extract the length
  frequency data from the frequency table with the upper length_range. A numeric value
  specifying the bin width for class intervals. If not provided, the bin width is
  automatically calculated using Sturges (1926) <https://doi.org/10.1080/01621459.1926.10502161>
  formula. CalPar(): Calculates various lengths used in fish stock assessment as biological
  length indicators such as asymptotic length (Linf), maximum length (Lmax), length
  at sexual maturity (Lm), and optimal length (Lopt). FishPar(): Calculates length-based
  indicators (LBIs) proposed by Froese (2004) <https://doi.org/10.1111/j.1467-2979.2004.00144.x>
  such as the percentage of mature fish (Pmat), percentage of optimal length fish
  (Popt), percentage of mega spawners (Pmega), and the sum of these as Pobj. This
  function also estimates confidence intervals for different lengths, visualizes length
  frequency distributions, and provides data frames containing calculated values.
  FishSS(): Makes decisions based on input from Cope and Punt (2009) <https://doi.org/10.1577/C08-025.1>
  and parameters calculated by FishPar() (e.g., Pobj, Pmat, Popt, LM_ratio) to determine
  stock status as target spawning biomass (TSB40) and limit spawning biomass (LSB25).
  These tools support fisheries management decisions by providing robust, data-driven
  insights.'
authors:
- family-names: Ali
  given-names: Ataher
  email: ataher.cu.ms@gmail.com
- family-names: Alam
  given-names: Mohammed Shahidul
  email: alamms@cu.ac.bd
repository: https://CRAN.R-project.org/package=aLBI
repository-code: https://github.com/Ataher76/aLBI
url: https://github.com/Ataher76/aLBI
date-released: '2024-11-21'
contact:
- family-names: Ali
  given-names: Ataher
  email: ataher.cu.ms@gmail.com