curve_boot              Generate Consonance Functions via Bootstrapping
curve_compare           Compares two functions and produces an AUC
                        score to show the amount of consonance.
curve_corr              Computes Consonance Intervals for Correlations
curve_gen               General Consonance Functions Using Profile
                        Likelihood, Wald, or the bootstrap method for
                        linear models.
curve_lik               Compute the Profile Likelihood Functions
curve_mean              Mean Interval Consonance Function
curve_meta              Meta-analytic Consonance Function
curve_rev               Reverse Engineer Consonance / Likelihood
                        Functions Using the Point Estimate and
                        Confidence Limits
curve_surv              Produce Consonance Intervals for Survival Data
curve_table             Produce Tables For concurve Functions
ggcurve                 Plots the P-Value (Consonance), S-value
                        (Surprisal), and Likelihood Function via
                        ggplot2
plot_compare            Compares the P-Value (Consonance), S-value
                        (Surprisal), and Likelihood Function via
                        ggplot2
