An R-based econometrics MCP server that provides advanced statistical modeling capabilities through R packages like plm, lmtest, and AER. Developed by goji+, the server enables AI assistants to perform complex econometric analyses including linear regression, panel data modeling, instrumental variables regression, and diagnostic testing across various research domains. Useful for researchers and data scientists seeking programmatic access to robust statistical modeling tools.
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Highlight AIPerform linear regression or logistic models to analyze the return on investment from marketing expenditures.
Use ARIMA models and other time series techniques to predict future sales figures.
Implement machine learning techniques like clustering and decision trees to categorize customers based on their behaviors.
Conduct statistical tests such as T-tests, ANOVA, or chi-square tests to determine the significance of A/B test results.
Generate descriptive statistics, detect outliers, and analyze correlations within a given dataset.
Transform data through processes like standardization, winsorization, and creating lag/lead variables to make it suitable for modeling.
Create professional visualizations such as scatter plots, histograms, and heatmaps to illustrate the relationships between variables.
Import data from CSV, Excel, or JSON files with validation, and perform analysis on the imported datasets.
Assist in constructing regression formulas and recovering from errors in statistical analysis tasks.
