All functions

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