SpikeAndSlabPrior.deterministic_scale#

SpikeAndSlabPrior.deterministic_scale: float#

Prior standard deviation of the unshrunk rows, in residual-scale units.

The intercept, any trend, and any exogenous regressor of equation \(i\) get variance \((\text{deterministic\_scale} \cdot s_i)^2\), held fixed across sweeps and never subject to exclusion. Must be positive.

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Pre-releases are published to PyPI and announced on GitHub Releases. Pin the exact version in anything that must not move.

pip install --pre cultivars==1.0.0a4

© 2026, Nikhil Sunder. Released under the MIT License. cultivars is an independent open-source project and is not affiliated with the Federal Reserve Bank of St. Louis; FRED® is a registered trademark of the Federal Reserve Bank of St. Louis.

cultivars 1.0.0a4 · built with Sphinx 9.1.0 and the PyData Sphinx Theme