SequentialSamplingModels

This package provides a unified interface for sequential sampling models (such as DDM, LBA, LNR, LCA, ...) in Julia, based on the Distributions.jl API, that can be used within Turing framework for Bayesian estimation.

Please see the documentation for more information.

• Bayesian Modeling: Usage with Turing
• Developer Guide
• List of Supported Models

Installation

You can install a stable version of SequentialSamplingModels by running the following in the Julia REPL:

] add SequentialSamplingModels

Quick Example

In the example below, we instantiate a Linear Ballistic Accumulator (LBA) model, and generate data from it.

using SequentialSamplingModels
using StatsPlots
using Random

# Create LBA distribution with known parameters
dist = LBA(; ν=[2.75,1.75], A=0.8, k=0.5, τ=0.25)
# Sample 1000 random data points from this distribution
choice, rt = rand(dist, 1000)