<div dir="ltr">Hi,
<br>
<br>Finally we're about to release the first version of the FLa4a package 
and a technical document (<a href="https://github.com/a4a/tech-doc/blob/master/a4aAssessmentMethodology.pdf?raw=true">https://github.com/a4a/tech-doc/blob/master/a4aAssessmentMethodology.pdf?raw=true</a>) which explains how to carry out the 
analysis.
<br>
<br>To run FLa4a you'll need R 3.0.x or higher, and install copula and 
triangle from CRAN. The following code should do it:
<br>
<br>install.packages(c('copula','triangle'))
<br>
<br>and then install the FLCore and FLa4a packages from FLR's repository:
<br>
<br>install.packages(c("FLCore","FLa4a"), repos=<a class="" href="http://flr-project.org/R">"http://flr-project.org/R"</a>)
<br>
<br>A simple demo using the traditional plaice in area 4 (North Sea) is as 
follows
<br>
<br>(start R <span class="" title=":)"></span> and copy paste the code below)
<br>
<br>library(FLa4a)
<br>data(ple4)
<br>data(ple4.indices)
<br>fit <- sca(ple4, ple4.indices, fmodel= ~ s(age, k=4) + s(year, k=20))
<br>res <- residuals(fit, ple4, ple4.indices)
<br>plot(res)
<br>qqmath(res)
<br>plot(fit, ple4)
<br>plot(fit, ple4.indices)
<br>plot(ple4 + fit)
<br>
<br>You can try models for fishing mortality, catchability, recruitment, 
etc, check the tech doc.
<br>
<br>I hope the demo opened your appetite <span class="" title=":)"></span> check the pdf for more info. If 
you're curious about the models you may jump directly to section 5.
<br>
<br>Comments and suggestions are welcome. Feel free to distribute.
<br>
<br>Best
<br>
<br>EJ
<br>
<br>ps: If you'd like to keep up with the development there's a repository 
in github <a class="" href="https://github.com/flr/FLa4a">https://github.com/flr/FLa4a</a>
<br>ps2: The tech doc code(knitr) is also in github 
<a class="" href="https://github.com/a4a/tech-doc">https://github.com/a4a/tech-doc</a>
<br><br><br>
</div>