Load when the user is working with pymc-extras (pmx) features: splines / BSplineBasis, distributional regression / GAMLSS, R2D2M2CP or horseshoe priors, discrete variable marginalization, or Laplace approximation via fit_laplace. Triggers include: pymc_extras, pymc-extras, pmx, splines, BSplineBasis, distributional regression, GAMLSS, R2D2, horseshoe (regularized/Finnish), marginalize, fit_laplace, penalized splines.
How to install pymc-extras?
pymc-labs/python-analytics-skills/pymc-extras
$npx -y skills add pymc-labs/python-analytics-skills --skill pymc-extrasInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/pymc-labs/python-analytics-skills" --skill "pymc-labs/python-analytics-skills/pymc-extras"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/pymc-labs/python-analytics-skills" that are relevant to the current task. Run `npx skills add "https://github.com/pymc-labs/python-analytics-skills"` and select the relevant skills, then follow their instructions.
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