Fit OLS, GLM, ARIMA, and other statistical models in Python.
npx skills add https://github.com/jimmc414/Kosmos --skill statsmodels-jimmc414
Please help me install this Agent Skill. Skill: statsmodels Source: https://github.com/jimmc414/Kosmos/tree/main/kosmos-claude-scientific-skills/scientific-skills/statsmodels Command: npx skills add https://github.com/jimmc414/Kosmos --skill statsmodels-jimmc414
This Skill provides a comprehensive suite of tools for rigorous statistical analysis, hypothesis testing, and model diagnostics, enabling users to derive meaningful insights from data.
Use the statsmodels skill to fit an OLS regression model with 'y' as the dependent variable and 'x1', 'x2' as independent variables.
High-intent search queries and answers about installing and using this skill.
You can fit an OLS regression model by defining your dependent variable and independent variables, then apply hypothesis testing like t-tests to evaluate the statistical significance of your findings and relationships in the data.
For time series analysis and econometrics, you can fit ARIMA and VAR models alongside GLM, GLS, WLS, and discrete choice models to perform robust statistical inference and forecasting on your data.
Yes, model diagnostics support detecting outliers, identifying influence points, checking for multicollinearity, and performing residual analysis to assess modeling assumptions and heteroskedasticity issues.
The best way to test the impact of advertising spend on sales is using regression analysis to fit the relationship, followed by hypothesis testing and robust covariance estimation to validate statistical significance.
No external dependencies are required to use this statistical modeling toolkit, allowing you to directly perform regression, time series forecasting, and hypothesis testing without installing additional packages.
siddsacharAnalyze CSV and tabular datasets to generate statistical summaries, narratives, and charts.
nferrer-devFit OLS regression models and print comprehensive summary results with statsmodels.
Ritabrata-ChakrabortyFit statistical models and analyze time series data in Python.
ovachieverEstimate regression and time-series models for statistical inference.
