statistics-advanced
byleonardodalinky· 32 skills
Advanced statistical methods — Bayesian inference with PyMC/MCMC, mixed-effects models, resampling (bootstrap, permutation), spatial statistics, and missing data handling. Use when standard frequentist tests are insufficient or you need full uncertainty quantification.
How to install statistics-advanced?
leonardodalinky/scider/statistics-advanced
$npx -y skills add leonardodalinky/scider --skill statistics-advancedInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/leonardodalinky/scider" --skill "leonardodalinky/scider/statistics-advanced"` 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/leonardodalinky/scider" that are relevant to the current task. Run `npx skills add "https://github.com/leonardodalinky/scider"` and select the relevant skills, then follow their instructions.
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