FishPar: Calculate Length-Based Indicators with Monte Carlo Simulation

In aLBI: Estimating Length-Based Indicators for Fish Stock

Calculate Length-Based Indicators with Monte Carlo Simulation

Description

This function calculates length-based indicators using Monte Carlo simulation for length parameters and non-parametric bootstrap for Froese indicators. Plots are displayed in the plot panel, and PDFs and an Excel file of results are saved to the current working directory.

Usage

FishPar(data, resample = 1000, progress = FALSE, Linf = NULL, Linf_sd = 0.5, Lmat = NULL,
  Lmat_sd = 0.5)

Arguments

data	A data frame containing two columns: Length and Frequency.
resample	An integer indicating the number of Monte Carlo samples or bootstrap resamples (default: 1000).
progress	A logical value indicating whether to display a progress bar (default: FALSE).
Linf	A numeric value for the asymptotic length (optional). If provided, overrides the default Lmax/0.95 calculation.
Linf_sd	A numeric value for the standard deviation of random variation added to Linf (default: 0.5). Only used if Linf is provided.
Lmat	A numeric value for the length at maturity (optional). If provided, overrides the default Monte Carlo estimation.
Lmat_sd	A numeric value for the standard deviation of random variation added to Lmat (default: 0.5). Only used if Lmat is provided.

Value

A list containing estimated length parameters, Froese indicators, and other metrics.

aLBI documentation built on Aug. 8, 2025, 6:06 p.m.