rmcp
R MCP Server is a Model Context Protocol (MCP) server designed to facilitate advanced econometric modeling and data analysis using R. It offers features like linear regression, panel data analysis, and various statistical tests to aid in seamless data insights.
What is the primary use of the R MCP Server?
The R MCP Server is primarily used for performing advanced econometric and statistical analyses using R, facilitating insights from data through AI assistants.
How can I install the R MCP Server?
You can install the R MCP Server using Docker by building the Docker image and running the container, or manually by installing the required Python and R packages.
What types of econometric models can I run with this server?
The server supports linear regression, panel data analysis, instrumental variables regression, and various diagnostic tests.
Can I use the server for diagnostic testing of my models?
Yes, the server provides tools for performing diagnostic tests to assess heteroskedasticity, autocorrelation, and model misspecification.
Is there any documentation available for the econometric techniques supported?
Yes, the server provides resources such as information on econometric formulas, diagnostic tests, and panel data analysis guides.