-
Introduction
-Stock Synthesis (SS3) is an age- and size-structured stock assessment model in the class of models termed integrated analysis. Stock Synthesis has evolved over time to be able to model a wide range of fish population dynamics and body growth, and to utilize diverse types of data. The model is coded in C++ with parameter estimation enabled by automatic differention though AD Model Builder ADMB.
+Stock Synthesis (SS3) is an age- and size-structured stock assessment model in the class of models termed integrated analysis. Stock Synthesis has evolved over time to be able to model a wide range of fish population dynamics and body growth, and to utilize diverse types of data. The model is coded in C++ with parameter estimation enabled by automatic differentiation though AD Model Builder ADMB.
SS3 is made up of:
- A population sub-model that simulates a stock’s:
@@ -277,14 +277,14 @@
Getti
Getting Started Using the Stock Assessment Continuum Tool
-If you are just getting started with Stock Synthesis, we highly recommend downloading the Stock Assessment Continuum Tool, a shiny app interface where users can provide data and life history information to create the Stock Synthesis input files, run the model, and produce plots and tables via the {r4ss} package.
+If you are just getting started with Stock Synthesis, we highly recommend downloading the Stock Assessment Continuum Tool, a shiny app interface where users can provide data and life history information to create the Stock Synthesis input files, run the model, and produce plots and tables via the {r4ss} package.
Getting Started Using the Input Files
To learn more about how to build your own models in Stock Synthesis using the input files directly, see the Develop a Stock Synthesis model guide.
- Viewing Stock Synthesis Output with {r4ss}
++ Interacting with Stock Synthesis and Viewing Output Using {r4ss}
@@ -308,9 +308,6 @@
Contributi
Tools for working with Stock Synthesis
--this is a test
-As Stock Synthesis usage has grown, so has the number of tools to work with it. These include repositories on GitHub with the stock-synthesis topic as well as:
- r4ss: Create plots of Stock Synthesis output and functions to work with Stock Synthesis in R. diff --git a/qmds/predator.html b/qmds/predator.html index e3a986f..67b395d 100644 --- a/qmds/predator.html +++ b/qmds/predator.html @@ -378,7 +378,7 @@
Diet data
Predator example