Monte Carlo Statistical Simulation Tools Using a Functional Approach

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Documentation for package ‘mcstatsim’ version 0.1.0

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 nested lists of dataframes into a single dataframe
mcpmap Parallel Map Over Lists Using Multiple Cores
replicater Replicate expressions with progress reporting
runsim Run simulations in parallel