R: Monte Carlo Statistical Simulation Tools Using a Functional Approach

# Monte Carlo Statistical Simulation Tools Using a Functional Approach

## Documentation for package ‘mcstatsim’ version 0.5.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

calc_bias | Calculate Bias and Bias Monte Carlo Standard Error
calc_coverage | Calculate Coverage Probability and its Monte Carlo Standard Error
calc_mse | Calculate Mean Squared Error and its Monte Carlo Standard Error
calc_rejection_rate | Calculate Rejection Rate and its Monte Carlo Standard Error
calc_relative_bias | Calculate Relative Bias and its Monte Carlo Standard Error
calc_relative_mse | Calculate Relative Mean Squared Error and its Monte Carlo Standard Error
calc_relative_rmse | Calculate Relative Root Mean Squared Error and its Monte Carlo Standard Error
calc_rmse | Calculate Root Mean Squared Error and its Monte Carlo Standard Error
calc_variance | Calculate Variance and its Monte Carlo Standard Error
calc_width | Calculate Average Width of Confidence Intervals and its Monte Carlo Standard Error
combine_df | Combine Dataframes in a Nested List
mcpmap | Parallel Map Function using functionals::fmapn
runsim | Run Monte Carlo Simulations in Parallel