- Comparison to Bayesian Posterior Distributions
This vignette discusses how consonance distributions and Bayesian posterior distributions differ in interpretation but how they can also often converge. This is shown with several examples of how to calculate both distributions in a range of scenarios.

- The Bootstrap and Consonance Functions
This guide discusses the bootstrap resampling method and its close connection to the consonance distribution and how to use certain iterations of the bootstrap to construct a consonance distribution.

- Case Studies
A list of papers that have used consonance functions to analyze or reanalyze datasets.

- Customizing Plots
A guide on how to customize the plots obtained from concurve via ggplot2 arguments and with other packages.

- Examples in R
A simple introduction to using the concurve R package.

- Profile Likelihoods
This vignette walks through how to construct and graph profile likelihood functions.

- Meta-Analysis Examples
This guide walks through how to construct consonance functions from meta-analysis data using the metafor R package. Both simple and complex data structures are examined.

- Using Stata
A simple guide on how to produce consonance functions in Stata.

- Survival Modeling
A vignette on how to produce consonance functions for results obtained from a survival analysis.

- S-value Calculator
A Shiny app that converts observed P-values to S-values.

- Generating Tables
This vignette walks through how to construct tables from the curve functions.

- Troubleshooting
A guide to dealing with common errors when using the concurve R package including slow loading of the graphs, warnings, and distorted plots.

- Consonance Functions for Linear Mixed-Effects Models
This guide walks through how to construct consonance functions in the context of designing and analyzing experiments in which the analyst is interested examining the sources of variability between and within groups.

- Wish List
A list of features that could potentially be added to the package.