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Run reproducible econometrics and statistical workflows through headless R execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "econ-r-mcp" yet — see the docs or source repo.
Use R to load a local CSV, run a linear regression with control variables, output a regression table, robust standard errors, diagnostic plots, and provide reproducible script notes.
A runnable R workflow with regression tables, plots, and reproducibility instructions.
Use R to run fixed-effects and random-effects models on this panel dataset, compare the results, perform a Hausman test, and summarize which model is more appropriate.
Estimated panel model results, test conclusions, and a concise model selection recommendation.
Help me build a reproducible statistical workflow in R: data cleaning, descriptive statistics, visualization, and hypothesis testing, organized in a clear execution sequence.
A structured R workflow with step-by-step logic, analysis outputs, and a repeatable execution plan.
Run R code via RStudio and support package development, testing, and jamovi builds.
Access research workflows, retrieval tools, and knowledge resources for faster analysis.
Connect to a live RStudio session to inspect data and run R code.
Provides relational tech guidance and Studio library for community-centered tool building.
Run persistent stateful Python sessions with timeouts, isolation, and tool bridging.
Use natural language to drive IDA Pro and Ghidra for binary analysis.