Fit OLS, GLM, ARIMA, and VAR models with diagnostic testing in Python.
npx skills add https://github.com/Rowtion/Bioclaw --skill statsmodels-rowtion
Please help me install this Agent Skill. Skill: statsmodels Source: https://github.com/Rowtion/Bioclaw/tree/main/scientific-skills/statsmodels Command: npx skills add https://github.com/Rowtion/Bioclaw --skill statsmodels-rowtion
This Skill provides a comprehensive suite of tools for statistical modeling, estimation, inference, and diagnostics, enabling users to perform rigorous data analysis and uncover deep insights.
Use the statsmodels skill to fit an OLS regression model to the provided dataset.
High-intent search queries and answers about installing and using this skill.
To fit an OLS regression model and run statistical inference, you can use this skill to estimate parameters, calculate robust standard errors, and conduct hypothesis testing on your dataset.
Yes, you can perform time series analysis in Python using this skill to fit ARIMA models, forecast future trends, and run detailed model diagnostics on your time-dependent data.
This skill supports econometrics modeling by enabling you to fit VAR models for multivariate time series and discrete choice models, providing rigorous inference and diagnostic testing.
The best way to run diagnostic tests for statistical modeling is using this skill's built-in functions to validate model assumptions, calculate robust standard errors, and perform detailed hypothesis testing.
Rigorous statistical modeling is essential for econometric data analysis when you need to test hypotheses about causal relationships, estimate parameters with GLS, and validate results with extensive diagnostic testing.
You should avoid using GLM for statistical inference when your data violates generalized linear model assumptions and cannot be resolved with robust standard errors or alternative discrete choice models.
LogauaEngstromEstimate and validate statistical models in Python using Statsmodels.
csinvaTrain sklearn-compatible interpretable regressors that emit readable coefficient and rule representations.
ovachieverEstimate regression and time-series models for statistical inference.
rishith-cCoordinate agent tasks and interactions via the Staple control plane API.
