estimation_error

Estimation error applied to the 'true' stock status to generate an 'observed' stock status used in the HCR.
The error is a combination of bias and lognormally distributed noise.

Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management.
'Introduction to HCRs' provides a simple overview to how HCRs work. Users are able to select their own HCR and
step through its performance, year by year. Biological variability and estimation uncertainty are introduced.
'Measuring performance' builds on the previous app and introduces the idea of using performance indicators
to measure HCR performance.
'Comparing performance' allows multiple HCRs to be created and tested, and their performance compared so that the
preferred HCR can be selected.

Finlay Scott

AMPLE

Shiny Apps to Support Capacity Building on Harvest Control Rules

Pacific Community (SPC) 

estimation_error function

<dl><dt>input</dt>
<dd>A vector of the 'true' stock status</dd>
<dt>sigma</dt>
<dd>Observation error standard deviation</dd>
<dt>bias</dt>
<dd>Observation error bias</dd></dl>

Arguments

estimation_error — estimation_error

<dl>

<dt>input</dt>
<dd>A vector of the 'true' stock status</dd>


<dt>sigma</dt>
<dd>Observation error standard deviation</dd>


<dt>bias</dt>
<dd>Observation error bias</dd>

</dl>

estimation_error: estimation_error

Description

Usage

Arguments