Python Package which collects simulators for Sequential Sampling Models.
Find the package documentation here.
The ssms package serves two purposes.
- Easy access to fast simulators of sequential sampling models
- Support infrastructure to construct training data for various approaches to likelihood / posterior amortization
We provide two minimal examples here to illustrate how to use each of the two capabilities.
Let's start with installing the ssms package.
You can do so by typing,
pip install ssm-simulators
in your terminal.
Below you find a basic tutorial on how to use the package.
Check the basic tutorial here.