statsmodels-statistical-modeling
CommunityRigorous statistical modeling and inference.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides robust tools for statistical modeling, enabling in-depth analysis of data beyond simple predictions.
Core Features & Use Cases
- Model Fitting: Perform OLS, WLS, GLM, and time series models with detailed diagnostics.
- Hypothesis Testing: Conduct rigorous statistical tests for inference and model validation.
- Use Case: Analyze clinical trial data to determine the efficacy of a new drug by fitting a logistic regression model, interpreting odds ratios, and testing for statistical significance.
Quick Start
Fit an OLS regression model using the formula API with 'y' as the dependent variable and 'x1', 'x2', and 'group' as independent variables from the provided pandas DataFrame.
Dependency Matrix
Required Modules
statsmodelsnumpypandasscipymatplotlibpatsy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: statsmodels-statistical-modeling Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#statsmodels-statistical-modeling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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