[FLR-list] FLa4a release candidate and tech document draft

[Ernesto Jardim]

Hi,

There's an updated versions with some bugfixes regarding the S/R model CV
and recruitment prediction.

As usual install the latest versions with

install.packages(c("FLCore","FLa4a"), repos="http://flr-project.org/R"
<http://flr-project.org/R>)

Best

EJ



On Tue, Jul 1, 2014 at 2:36 PM, Ernesto Jardim <ernesto.jardim at gmail.com>
wrote:

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