Monte Carlo Statistical Simulation Tools Using a Functional Approach

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Documentation for package ‘mcstatsim’ version 0.5.0

• 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 pbapply::pbmapply
runsim	Run Monte Carlo Simulations in Parallel