Fit OLS, GLM, ARIMA, and VAR statistical models in Python.
npx skills add https://github.com/Yezez9/Research-Agent --skill statsmodels-yezez9
Please help me install this Agent Skill. Skill: statsmodels Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/statsmodels Command: npx skills add https://github.com/Yezez9/Research-Agent --skill statsmodels-yezez9
This Skill provides a comprehensive toolkit for statistical modeling, enabling users to perform complex analyses, test hypotheses, and generate robust statistical inference for research and data analysis.
Fit an OLS linear regression model using the provided y and X data.
High-intent search queries and answers about installing and using this skill.
Time series forecasting with ARIMA involves fitting an autoregressive integrated moving average model to your sequential data. This Skill supports ARIMA model fitting to analyze economic trends and generate robust future forecasts.
Hypothesis testing and model diagnostics include a wide array of statistical tests for assumptions, significance, and comparisons. You can perform residual analysis and influence detection to validate model assumptions.
Yes, you can fit a logistic regression model to predict customer churn. This Skill supports Generalized Linear Models (GLM) for analyzing demographic and behavioral features to generate rigorous statistical inference.
Yes, detailed statistical knowledge is required for model selection and interpretation. This Skill provides advanced statistical modeling capabilities for econometrics, finance, and social sciences, demanding rigorous understanding.
The best way to run OLS linear regression is by fitting the model using your provided `y` and `X` data. This Skill enables robust estimation and offers tools for influence detection and model validation.
Limitations arise if model assumptions are violated, requiring thorough diagnostics. You must perform residual analysis and influence detection during model validation to ensure robust estimation across econometrics domains.
thedaviddiasDisplay, sort, and filter structured data in a tabular format.
d3mingFit linear and non-linear regression models and generate diagnostics.
hxhyyyPerform statistical tests on financial time-series data with statsmodels and arch.
ovachieverEstimate regression and time-series models for statistical inference.
