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COLEMAN 4.18.0 — Industrial test data and bounded comparisons
Explore original industrial test observations and compare bounded CI metrics with conservative uncertainty under explicit independence assumptions.
Highlights
- Convert pinned Westermo sources into separate observation and session Parquet tables, preserving abnormal outcomes and unverified duration units.
- Use bounded paired means with full-family correction, simultaneous bounds and practical-equivalence decisions.
- Recover exports without treating partial writes as completed data.
Compatibility
Requires Python 3.14 or later. Existing Student-t protocols and native artifacts keep their meanings. The new inference method requires the matching SDK; neither source conversion nor statistical machinery supplies missing independent evidence.
Get started
Install this release's attached wheel in a virtual environment:
python -m pip install "https://github.com/jacksonpradolima/coleman/releases/download/v4.18.0/coleman-4.18.0-py3-none-any.whl#sha256=ae75cd0f7eefd91be7bfc2b44b43114ea97e02588588803b17bb3d6433c79d16"The assets also include the source archive, Sigstore verification bundles and an SBOM. The dependency lock is attached as well.