concurve R Package | Less Likely

Statistical Computations Compute consonance and surprisal distribitions for a wide range of scenarios, along with likelihood functions.
`concurve-package`	A description of the `concurve` `R` package
`curve_boot()`	Generate Consonance Functions via Bootstrapping
`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
Statistical Graphics Plot the overall functions that were computed such as the consonance, surprisal, and likelihood functions.
`ggcurve()`	Plots Consonance, Surprisal, and Likelihood Functions
`curve_compare()`	Compare Two Functions and Produces An AUC Score
`plot_compare()`	Graph and Compare Consonance, Surprisal, and Likelihood Functions
Statistical Reporting Display the tables showing relevant statistics from the initial computations.
`curve_table()`	Produce Tables For concurve Functions
Miscellaneous Functions Some internal helper functions.
`RobustMin()`	Robust Min, an alternative to max() that doesn't throw a warning
`RobustMax()`	Robust Max, an alternative to max() that doesn't throw a warning