statsmodels · For data scientists

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.

spacering-net/codeg

Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.

zLanqing/codex-claude-academic-skills

Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

lingzhi227/agent-research-skills

Zero-shot time series forecasting with Google's TimesFM foundation model.

agent-skills-hub/agent-skills-hub

Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module.

HKUDS/Vibe-Trading

Panel data analysis with Python using linearmodels and pandas.

meleantonio/awesome-econ-ai-stuff

Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals.

HKUDS/Vibe-Trading

Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX.

K-Dense-AI/scientific-agent-skills

Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels.

aipoch/medical-research-skills

Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

brycewang-stanford/Auto-Empirical-Research-Skills

Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot.

brycewang-stanford/Auto-Empirical-Research-Skills

Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics.

brycewang-stanford/Auto-Empirical-Research-Skills

Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration.

brycewang-stanford/Auto-Empirical-Research-Skills

Statistical modeling workflow guide for hypothesis tests, effect-size reporting, statsmodels regression, diagnostics, and structured result export.

DrugClaw/DrugClaw

Guided statistical analysis: test choice, assumption checks, effect sizes, power, APA reporting.

jaechang-hits/SciAgent-Skills

Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.

brycewang-stanford/Auto-Empirical-Research-Skills

AutoML 自动化机器学习技能 | Automated Machine Learning Skill. An agent skill from LeoYeAI/openclaw-master-skills.

LeoYeAI/openclaw-master-skills

A skill your agent uses when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis

brycewang-stanford/Auto-Empirical-Research-Skills

Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data.

jaechang-hits/SciAgent-Skills

Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests.

jaechang-hits/SciAgent-Skills