Skills · SkillData & AIResearch & AnalysisMachine learningData analysis & BIReviewed

statsmodels

Fits and diagnoses Python statistical models: OLS, GLM, discrete and mixed models, ARIMA and SARIMAX, with inference, model comparison and forecasting.

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Kind: Skill
Works with: Claude Code, Codex, Cursor, Gemini / Antigravity
Languages: Python
Source: Scientific Agent Skills (K-Dense) @ 5f2bc0341354
Path: skills/statsmodels/SKILL.md
Jobs: Implementation
Topics: Machine learning, Data analysis & BI

Credit

Made by: K-Dense-AI
Original: github.com/K-Dense-AI/scientific-agent-skills/blob/5f2bc03413…
License: MIT

Listed by Skill Manifest; not made by us.

InstallInstall it by hand, following the source.

gh skill install K-Dense-AI/scientific-agent-skills statsmodels

Install factsScanned 2 Nov 2026

Adds: .claude/skills/statsmodels/ (the skill folder)
9 file(s) the skill refers to
Runs scripts: Yes
allowed-tools includes Bash
shell block in the text
Uses the network: Yes
downloads Python packages
Needs secrets: None found
Source revision: 5f2bc0341354
Licence: MIT
Last activity: 26 Oct 2026
Review: Reviewed

Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.

Only the main file is read; other files in the folder are not scanned

# Statsmodels: Statistical Modeling and Econometrics

## Overview

Statsmodels provides estimation, inference and diagnostics for regression, time series and econometric models. A successful fit establishes numerical execution; causal identification, calibrated uncertainty and model adequacy require a defensible study design and assumptions.

## Current Compatibility

Reviewed against statsmodels 0.15.0 (released August 27, 2026). Native checks used Python 3.13, NumPy 2.5.3, SciPy 1.18.1, pandas 3.0.6, matplotlib 3.11.2 and scikit-learn 1.9.1. Install in a dedicated environment:

```bash
uv pip install statsmodels==0.15.0 numpy==2.5.3 scipy==1.18.1 pandas==3.0.6 matplotlib==3.11.2 scikit-learn==1.9.1
```

Use `statsmodels.api` and `statsmodels.formula.api` for stable high-level imports, and direct module imports when examples require newer or specialized classes such as `HurdleCountModel`.
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