Skill · em Dados, IA e pesquisa

statsmodels

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

Procedência

Origem: davila7/claude-code-templates
Caminho: cli-tool/components/skills/scientific/statsmodels
Versão fixada: 57f899e5394bb8ca166f38eacae8f0853cbfe033
Licença: MIT
Espelhado em 25/09/2026
3 downloads no Claude Code Templates (lido em 25/09/2026)

Antes de instalar

6 arquivos · 103,2 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/statsmodels/.

d=".claude/skills/statsmodels"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/statsmodels"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/discrete_choice.md" "$u/references/discrete_choice.md" \
  -o "$d/references/glm.md" "$u/references/glm.md" \
  -o "$d/references/linear_models.md" "$u/references/linear_models.md" \
  -o "$d/references/stats_diagnostics.md" "$u/references/stats_diagnostics.md" \
  -o "$d/references/time_series.md" "$u/references/time_series.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/statsmodels/.

d="$HOME/.claude/skills/statsmodels"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/statsmodels"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/discrete_choice.md" "$u/references/discrete_choice.md" \
  -o "$d/references/glm.md" "$u/references/glm.md" \
  -o "$d/references/linear_models.md" "$u/references/linear_models.md" \
  -o "$d/references/stats_diagnostics.md" "$u/references/stats_diagnostics.md" \
  -o "$d/references/time_series.md" "$u/references/time_series.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/statsmodels/.

d=".agents/skills/statsmodels"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/statsmodels"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/discrete_choice.md" "$u/references/discrete_choice.md" \
  -o "$d/references/glm.md" "$u/references/glm.md" \
  -o "$d/references/linear_models.md" "$u/references/linear_models.md" \
  -o "$d/references/stats_diagnostics.md" "$u/references/stats_diagnostics.md" \
  -o "$d/references/time_series.md" "$u/references/time_series.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/statsmodels/.

d="$HOME/.agents/skills/statsmodels"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/statsmodels"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/discrete_choice.md" "$u/references/discrete_choice.md" \
  -o "$d/references/glm.md" "$u/references/glm.md" \
  -o "$d/references/linear_models.md" "$u/references/linear_models.md" \
  -o "$d/references/stats_diagnostics.md" "$u/references/stats_diagnostics.md" \
  -o "$d/references/time_series.md" "$u/references/time_series.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/statsmodels/.

d=".agents/skills/statsmodels"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/statsmodels"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/discrete_choice.md" "$u/references/discrete_choice.md" \
  -o "$d/references/glm.md" "$u/references/glm.md" \
  -o "$d/references/linear_models.md" "$u/references/linear_models.md" \
  -o "$d/references/stats_diagnostics.md" "$u/references/stats_diagnostics.md" \
  -o "$d/references/time_series.md" "$u/references/time_series.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/statsmodels/.

d="$HOME/.gemini/antigravity-cli/skills/statsmodels"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/statsmodels"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/discrete_choice.md" "$u/references/discrete_choice.md" \
  -o "$d/references/glm.md" "$u/references/glm.md" \
  -o "$d/references/linear_models.md" "$u/references/linear_models.md" \
  -o "$d/references/stats_diagnostics.md" "$u/references/stats_diagnostics.md" \
  -o "$d/references/time_series.md" "$u/references/time_series.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.statsmodels

Prévia do SKILL.md

---
name: statsmodels
description: "Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis."
---

# Statsmodels: Statistical Modeling and Econometrics

## Overview

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods. Apply this skill for rigorous statistical analysis, from simple linear regression to complex time series models and econometric analyses.

## When to Use This Skill

This skill should be used when:
- Fitting regression models (OLS, WLS, GLS, quantile regression)
- Performing generalized linear modeling (logistic, Poisson, Gamma, etc.)
- Analyzing discrete outcomes (binary, multinomial, count, ordinal)
- Conducting time series analysis (ARIMA, SARIMAX, VAR, forecasting)
- Running statistical tests and diagnostics
- Testing model assumptions (heteroskedasticity, autocorrelation, normality)
- Detecting outliers and influential observations
- Comparing models (AIC/BIC, likelihood ratio tests)
- Estimating causal effects
- Producing publication-ready statistical tables and inference

## Quick Start Guide

### Linear Regression (OLS)

```python
import statsmodels.api as sm
import numpy as np
import pandas as pd

# Prepare data - ALWAYS add constant for intercept
X = sm.add_constant(X_data)

# Fit OLS model
model = sm.OLS(y, X)
results = model.fit()
…

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