rmcp
If you are the rightful owner of rmcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The R MCP Server is a Model Context Protocol server that facilitates advanced econometric modeling and data analysis using R, enabling AI assistants to perform complex statistical analyses.
The R MCP Server is designed to provide robust econometric modeling and data analysis capabilities through the R programming language. It serves as a bridge for AI assistants, allowing them to execute sophisticated econometric and statistical analyses seamlessly. This server is particularly useful for users who need to derive insights from data quickly and efficiently. By leveraging R's powerful statistical packages, the server can perform a wide range of analyses, from linear regression to panel data analysis and instrumental variables estimation. The server communicates via standard input/output, making it easy to integrate into various workflows. Users can interact with the server by sending JSON messages, which specify the type of analysis to be performed and the data to be used. The server then processes these requests and returns the results in a structured format, allowing for easy interpretation and further analysis.
Features
- Linear Regression: Execute linear models with optional robust standard errors.
- Panel Data Analysis: Estimate fixed effects, random effects, pooling, between, and first-difference models.
- Instrumental Variables: Build and estimate IV regression models.
- Diagnostic Tests: Assess heteroskedasticity, autocorrelation, and model misspecification.
- Descriptive Statistics: Generate summary statistics for datasets using R’s summary() functionality.
Tools
linear_model
Run a linear regression model.
panel_model
Run a panel data model.
diagnostics
Perform model diagnostics.
iv_regression
Estimate instrumental variables regression.
