Computes and Plots Compatibility (Confidence) Intervals, P-Values, S-Values, & Likelihood Intervals to Form Consonance, Surprisal, & Likelihood Functions


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Documentation for package ‘concurve’ version 2.3.0

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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