New models: ExGaussian and Shifted Wald

Repository metrics

Stars

117 stars (117 stars)

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Description

Contributor guide

Research direction

Study the implementation of a similar model (e.g., LBA, DDM) in HSSM and follow the pattern to add the ExGaussian and Shifted Wald models. Pay attention to the likelihood definition and parameter bounds.

Tech stack

python

Domain

backend

Issue type

Feature

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

3

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-2 days

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Mostly clear

Prerequisites

PythonHSSM

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

60