Scaffold and run a reproducible Monte Carlo simulation study in R — parameterized DGP, an estimator grid, a seeded replication loop, and a summary of bias, RMSE, empirical SE, coverage, size/power with Monte Carlo standard errors. Use when the user says "run a Monte Carlo simulation", "simulation study", "check the bias/coverage of an estimator", "compare estimators in simulation", "size and power simulation", "Monte Carlo experiment", or wants to demonstrate an estimator's finite-sample properties. Produces a numbered R script in scripts/R/ and saves per-replication raw results + a summary table to scripts/R/_outputs/.
How to install simulation-study?
pedrohcgs/claude-code-my-workflow/simulation-study
$npx -y skills add pedrohcgs/claude-code-my-workflow --skill simulation-studyInstalls into the current project.
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Run `npx skills use "https://github.com/pedrohcgs/claude-code-my-workflow" --skill "pedrohcgs/claude-code-my-workflow/simulation-study"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/pedrohcgs/claude-code-my-workflow" that are relevant to the current task. Run `npx skills add "https://github.com/pedrohcgs/claude-code-my-workflow"` and select the relevant skills, then follow their instructions.
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