MultiMethodMLEstimate-class
                        S4 object containing the results of
                        multi-method ML accuracy estimates
aggregate_boot_ML       Aggregate bootstrapped ML estimates
bin_auc                 Calculate AUC for single Se/Sp pair
boot_ML                 Bootstrap ML accuracy statistic estimation for
                        multi-method data
censor_data             Censor data randomly rowwise
define_disease_state    Define the True disease state of a simulated
                        sample
dmvnorm                 Multivariate Normal Densities
estimate_ML             Estimate maximum likelihood accuracy statistics
                        by expectation maximization
generate_multimethod_data
                        Create data sets which simulate paired
                        measurements of multiple methods
name_thing              Create unique names for a set of things
new_boot_ML             Create new boot_ML class object
plot,MultiMethodMLEstimate-method
                        Create plots from a MultiMethodMLEstimate
                        object
plot.boot_ML            Plot univariate distributions of bootstrapped
                        ML estimates
plot_ML                 Create plots visualizing the ML estimation
                        process and results.
pollinate_ML            Generate seed values for EM algorithm
show,MultiMethodMLEstimate-method
                        Show a MultiMethodMLEstimate S4 object
