model_diagnostics

Comprehensive diagnostic checks for PyMC models. Run this after sampling to validate results before interpretation.

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/model-diagnostics && curl -fsSL https://doutorai.pt/data/lib/skills__model-diagnostics.md -o .claude/skills/model-diagnostics/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

"""
PyMC Model Diagnostics Script

Comprehensive diagnostic checks for PyMC models.
Run this after sampling to validate results before interpretation.

Usage:
    from scripts.model_diagnostics import check_diagnostics, create_diagnostic_report

    # Quick check
    check_diagnostics(idata)

    # Full report with plots
    create_diagnostic_report(idata, var_names=['alpha', 'beta', 'sigma'], output_dir='diagnostics/')
"""

import arviz as az
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path


def check_diagnostics(idata, var_names=None, ess_threshold=400, rhat_thres

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