Monte Carlo Statistical Simulation Tools Using a Functional Approach

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Documentation for package ‘mcstatsim’ version 0.9.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• 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
check_estimates	Flag Non-Finite or Degenerate Estimates in Simulation Output
combine_df	Combine Dataframes in a Nested List
failure_summary	Summarise Failed Jobs from a Simulation Run
mcpmap	Parallel Map Function using functionals::fmapn
mcse_target	Replications Needed to Reach a Target Monte Carlo Standard Error
plot_convergence	Convergence Trace of a Monte Carlo Estimate
plot_performance	Point-Range Plot of a Performance Measure Across Conditions
plot_zip	Zip Plot of Confidence-Interval Coverage
runsim	Run Monte Carlo Simulations in Parallel
summarise_sim	Summarise Replicate-Level Simulation Output into a Performance Table