Monte Carlo Statistical Simulation Tools Using a Functional Approach
Parallel Map Function using pbapply::pbmapply
Calculate Bias and Bias Monte Carlo Standard Error
Calculate Coverage Probability and its Monte Carlo Standard Error
Calculate Mean Squared Error and its Monte Carlo Standard Error
Calculate Rejection Rate and its Monte Carlo Standard Error
Calculate Relative Bias and its Monte Carlo Standard Error
Calculate Relative Mean Squared Error and its Monte Carlo Standard Err...
Calculate Relative Root Mean Squared Error and its Monte Carlo Standar...
Calculate Root Mean Squared Error and its Monte Carlo Standard Error
Calculate Variance and its Monte Carlo Standard Error
Calculate Average Width of Confidence Intervals and its Monte Carlo St...
Combine Dataframes in a Nested List
Run Monte Carlo Simulations in Parallel
A lightweight package designed to facilitate statistical simulations through functional programming. It centralizes the simulation process into a single higher-order function, enhancing manageability and usability without adding overhead from external dependencies. The package includes ready-to-use functions for common simulation targets. A detailed example can be found on <https://github.com/ielbadisy/mcstatsim>.