Computes & Plots Compatibility (Confidence), Surprisal, & Likelihood Distributions

Documentation for package ‘concurve’ version 2.7.7

concurve-package	A description of the 'concurve' 'R' package
concurve	A description of the 'concurve' 'R' package
curve_boot	Generate Consonance Functions via Bootstrapping
curve_compare	Compare Two Functions and Produces An AUC Score
curve_corr	Consonance Functions for Correlations
curve_gen	Consonance Functions For Linear Models, Generalized Linear Models, and Robust Linear Models
curve_lik	Compute Profile Likelihood Functions
curve_lmer	Consonance Functions For Linear & Non-Linear Mixed-Effects Models.
curve_mean	Consonance Functions For Mean Differences
curve_meta	Consonance Functions For Meta-Analytic Data
curve_rev	Reverse Engineer Consonance / Likelihood Functions Using the Point Estimate and Confidence Limits
curve_surv	Consonance Functions For Survival Data
curve_table	Produce Tables For concurve Functions
ggcurve	Plots Consonance, Surprisal, and Likelihood Functions
plot_compare	Graph and Compare Consonance, Surprisal, and Likelihood Functions
RobustMax	Robust Max, an alternative to max() that doesn't throw a warning
RobustMin	Robust Min, an alternative to max() that doesn't throw a warning