SSMS: Sequential Sampling Model Simulators
ssm-simulators provides fast C/Cython simulators for sequential sampling
models used in cognitive science, neuroscience, and amortized Bayesian
inference. It is the simulator and training-data layer of the
HSSM ecosystem.
Install
pip install ssm-simulators
The documentation is the canonical source for optional backends, OpenMP/GSL prerequisites, tutorials, model coverage, configuration, and API contracts.
Start here
- Simulate and inspect your first SSM
- Simulate your first RLSSM
- Create a custom model
- Browse the API reference
- Report an issue
Contributing
Install the development environment, then run the package and documentation gates:
uv sync --extra dev
uv run pytest tests/
uv run pytest tests/test_notebooks.py --run-notebooks --no-cov -v
uv run ruff check .
uv run ruff format --check .
./scripts/docs.sh build
Preview documentation changes with ./scripts/docs.sh serve. See the
contribution guide
and new-model guide
for durable development guidance.
Citation
Please cite ssm-simulators with its
Zenodo DOI.
License
ssm-simulators is distributed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for ssm-simulators 0.15.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ssm_simulators-0.15.0.tar.gz | 2.8 MB | Details |
Built distributions (wheels)
Total release size: 199.2 MB
Release files / ssm_simulators-0.15.0.tar.gz
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Release files / ssm_simulators-0.15.0-cp314-cp314-musllinux_1_2_x86_64.whl
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