residuals.MSAassess

residuals

Extract residuals from fitted model

Implementation of a next-generation, multi-stock age-structured fisheries assessment model.
'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in
fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data,
e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.

Quang Huynh

multiSA

Multi-Stock Assessment

residuals.MSAassess function

<dl><dt>object</dt>
<dd>MSAassess object returned by <code>fit_MSA()</code></dd>
<dt>vars</dt>
<dd>Character vector to indicate which residuals will be calculated.
Available choices from MSAdata object are:
"Cinit_mfr", "Cobs_ymfr", "CAAobs_ymafr", "CALobs_ymlfr",
"Iobs_ymi", "IAAobs_ymai", "IALobs_ymli", "SC_ymafrs"</dd>
<dt>type</dt>
<dd>Character, 'response' for the <code>log(observed/predicted)</code> values or 'pearson' for calculating Z-scores.
Composition data always use 'pearson'.</dd>
<dt>...</dt>
<dd>Not used</dd></dl>

Arguments

Calculate model residuals — residuals.MSAassess

<dl>

<dt>object</dt>
<dd>MSAassess object returned by <code>fit_MSA()</code></dd>


<dt>vars</dt>
<dd>Character vector to indicate which residuals will be calculated.
Available choices from MSAdata object are:
"Cinit_mfr", "Cobs_ymfr", "CAAobs_ymafr", "CALobs_ymlfr",
"Iobs_ymi", "IAAobs_ymai", "IALobs_ymli", "SC_ymafrs"</dd>


<dt>type</dt>
<dd>Character, 'response' for the <code>log(observed/predicted)</code> values or 'pearson' for calculating Z-scores.
Composition data always use 'pearson'.</dd>


<dt>...</dt>
<dd>Not used</dd>

</dl>

residuals.MSAassess: Calculate model residuals

Description

Usage

Value

Arguments