bonito_boot

<p>Bootstrapped growth estimates for the bonito
age-growth data calculated using the grotag_boot as this:</p>
<p><div class="sourceCode r"></div></p><pre><code>data("bonito", package = "fishmethods")<p></p><p>grotag_boot(input.data = bonito,
            alpha = 35, beta = 55,
            design  = list(nu = 1, m = 1,p = 1, sea = 1),
            stvalue = list(sigma = 0.9, nu = 0.4, m = -1,
                           p = 0.2, u = 0.4, w = 0.4),
            upper   = list(sigma = 5, nu = 1, m = 2,
                           p = 0.5, u = 1, w = 1),
            lower   = list(sigma = 0, nu = 0, m = -2,
                           p = 0.0, u = 0, w = 0),
            control = list(maxit = 1e4),
            seed = 1234, nresamp = 100, cc.only = TRUE)
</p></code></pre><p></p>

datasets

A suite of bootstrap-based models and tools for analyzing fish
stocks and aquatic populations. Designed for ecologists and fisheries
scientists, it supports data from length-frequency distributions,
tag-and-recapture studies, and hard structure readings (e.g., otoliths).
See Schwamborn et al., 2019 <doi:10.1016/j.ecolmodel.2018.12.001>
for background. The package includes functions for bootstrapped fitting of
growth curves and plotting.

Ralf Schwamborn

fishboot

Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic
Populations

Tobias K. Mildenberger

Marc H. Taylor

Margit Wilhelm

Wencheng Lau-Medrano

bonito_boot function


<div class="section" id="bonito-boot">
<h3><code>bonito_boot</code></h3><p></p><p>
</p><p>A <code>grotagBoot</code> object with four columns: <code>Linf</code>, <code>K</code>,
<code>PhiL</code>, <code>u</code>, <code>w</code> and <code>seed</code>.</p>
</div>


Format

<p>Bootstrapped growth estimates for the bonito
age-growth data calculated using the grotag_boot as this:</p>
<p><div class="sourceCode r"></p><pre><code>data("bonito", package = "fishmethods")

grotag_boot(input.data = bonito,
            alpha = 35, beta = 55,
            design  = list(nu = 1, m = 1,p = 1, sea = 1),
            stvalue = list(sigma = 0.9, nu = 0.4, m = -1,
                           p = 0.2, u = 0.4, w = 0.4),
            upper   = list(sigma = 5, nu = 1, m = 2,
                           p = 0.5, u = 1, w = 1),
            lower   = list(sigma = 0, nu = 0, m = -2,
                           p = 0.0, u = 0, w = 0),
            control = list(maxit = 1e4),
            seed = 1234, nresamp = 100, cc.only = TRUE)
</code></pre><p></div></p>

Bootstrapped growth estimates for the bonito data set — bonito_boot


<div class='section' id='bonito-boot'>
<h3><code>bonito_boot</code></h3>


<p>A <code>grotagBoot</code> object with four columns: <code>Linf</code>, <code>K</code>,
<code>PhiL</code>, <code>u</code>, <code>w</code> and <code>seed</code>.</p>
</div>


bonito_boot: Bootstrapped growth estimates for the bonito data set

Description

Usage

Arguments

Format

`bonito_boot`