simulus

Age and size data were derived via simulation.

datasets

Functions for applying a wide range of fisheries stock assessment methods.

Gary Nelson

fishmethods

Fishery Science Methods and Models

simulus function

A data frame with 1000 observations on the following 6 variables.<dl>
 <dt><code>age</code></dt>
<dd>a numeric vector of ages</dd> <dt><code>size</code></dt>
<dd>a numeric vector of body size</dd> <dt><code>weights</code></dt>
<dd>a numeric vector of observation weights for the likelihood function.</dd> <dt><code>minlimit</code></dt>
<dd>a numeric vector of the minimum size limit.</dd> <dt><code>maxlimit</code></dt>
<dd>a numeric vector of the maximum size limit.</dd> <dt><code>minmax</code></dt>
<dd>a numeric vector indicating to which likelihood component (1=minimum, 2=maximum) each row observation is assigned.</dd> 
</dl>

Format

Age and size data for the growth_sel function — simulus

A data frame with 1000 observations on the following 6 variables.<dl>
 <dt><code>age</code></dt>
<dd>a numeric vector of ages</dd>

 <dt><code>size</code></dt>
<dd>a numeric vector of body size</dd>

 <dt><code>weights</code></dt>
<dd>a numeric vector of observation weights for the likelihood function.</dd>

 <dt><code>minlimit</code></dt>
<dd>a numeric vector of the minimum size limit.</dd>

 <dt><code>maxlimit</code></dt>
<dd>a numeric vector of the maximum size limit.</dd>

 <dt><code>minmax</code></dt>
<dd>a numeric vector indicating to which likelihood component (1=minimum, 2=maximum) each row observation is assigned.</dd>

 
</dl>

simulus: Age and size data for the growth_sel function

Description

Usage

Arguments

Format