Man pages for bayesball/TeachBayes
Teaching Bayesian Inference

bar_plot	Bar plot of numeric or character data
bayesian_crank	Computes Posterior Probabilities for Discrete Models
beta_area	Displays Areas Under a Beta Curve
beta_data	Simulate random data from a beta curve
beta_draw	Draw a Beta Curve
beta_interval	Probability Interval for a Beta Curve
beta_prior_post	Plot of Two Beta Curves
beta_quantile	Displays a Quantile of a Beta Curve
buffalo_jan	Buffalo snowfall data
centertitle	Centers title in a ggplot2 graphic
ChooseBeta	Shiny App to Choose a Beta Curve
draw_two_p	Plot of Distribution of Two Proportions
dsampling	Hypergeometric sampling density
dspinner	Computes likelihoods for spinner outcomes
gibbs_betabin	Gibbs sampling of the beta-binomial distribution
gibbs_discrete	Gibbs sampling of a bivariate discrete distribution
gibbs_normal	Gibbs sampling of the normal sampling posterior
increasefont	Increases font size of text
many_normal_plots	Graph of several normal curves
many_spinner_plots	Graphs a collection of spinners
metropolis	Metropolis sampling of a continuous distribution
normal_area	Displays Area Under a Normal Curve
normal_draw	Draws a Normal Curve
normal_interval	Probability Interval for a Normal Curve
normal_quantile	Displays a Quantile of a Normal Curve
normal_update	Updates a Normal Prior with Normal Data
prior_post_plot	Graphs prior and posterior probabilities
prob_plot	Constructs a graph of a probability distribution
random_walk	Metropolis sampling of a discrete distribution
spinner_bayes	Implements Bayes' rule for a spinner problem
spinner_data	Simulate random data from a spinner
spinner_likelihoods	Computes likelihood matrix for many spinners
spinner_plot	Constructs a spinner
spinner_probs	Display probability distribution for a spinner
testing_prior	Testing prior for two proportions
two_p_summarize	Summaries of a probability matrix
two_p_update	Posterior updating of two proportions