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statsmodels · Forecasting and time series
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | 5 mo ago |
| 2 | Zero-shot time series forecasting with Google's TimesFM foundation model. | agent-skills-hub/ | 112 | 1 repo | ~7.8k | Automated safety check: Notes | Apache-2.0 | 9 days ago |
| 3 | Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module. | HKUDS/ | 35k | — | ~4k | Automated safety check: Pass | MIT | today |
| 4 | Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX. | K-Dense-AI/ | 48k | 1 repo | ~3.2k | Automated safety check: Notes | BSD-3-Clause | 6 days ago |
| 5 | Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives… | GPTomics/ | 1.2k | 1 repo | ~5k | Automated safety check: Pass | MIT | 1 mo ago |
| 6 | Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. | brycewang-stanford/ | 4.6k | — | ~3.2k | Automated safety check: Pass | Unknown | 5 days ago |
| 7 | Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. | brycewang-stanford/ | 4.6k | — | ~3.4k | Automated safety check: Pass | Unknown | 5 days ago |
| 8 | End-to-end bulk time-course analysis from an expression matrix to temporal gene modules and per-cluster pathway enrichment. | GPTomics/ | 1.2k | 1 repo | ~6k | Automated safety check: Pass | MIT | 1 mo ago |
| 9 | AutoML 自动化机器学习技能 | Automated Machine Learning Skill. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~3.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 10 | 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/ | 374 | 1 repo | ~4.2k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |