J2.theoretical          Theoretical Youden index under the normal model
J_true_mixture          True Youden index and optimal cut-point under
                        the mixture model
calculate_mu1_for_dataframe
                        Compute mu_1 for each row of a parameter data
                        frame
default_param_grid      Build the default parameter grid used in Lai et
                        al. (2012)
dmixnorm                Density of the contaminated normal mixture
eq.J2                   Equation whose root gives mu_1
find_mu1_from_J2        Find mu_1 from the Youden index under the
                        normal model
find_mu1_from_J_mixture
                        Find mu_1 from the Youden index under the
                        mixture model
generate_mixture_sample
                        Generate a sample from the contaminated normal
                        mixture
generate_mixture_tables
                        Generate LaTeX tables for the mixture model
                        simulation
generate_normal_tables
                        Generate LaTeX tables for the normal model
                        simulation
generate_param_grid     Build a custom parameter grid
gpq_J                   GPQ for the Youden index
gpq_c                   GPQ for the optimal cut-point
gpq_from_sample         Generate generalized pivotal quantities for one
                        simulated sample
gpq_mu                  GPQ for the mean
gpq_sigma               GPQ for the standard deviation
mix_sd                  Standard deviations of the two mixture
                        components
pmixnorm                CDF of the contaminated normal mixture
run_one_row             Run the simulation for a single row of the
                        parameter grid
run_parallel_grid       Run the simulation in parallel, detecting the
                        OS automatically
run_simulation          Run the Monte Carlo simulation for a single
                        parameter scenario
