Teaching Bayesian Inference


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Documentation for package ‘TeachBayes’ version 1.0

Help Pages

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
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
many_normal_plots Graph of several normal curves
many_spinner_plots Graphs a collection of spinners
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
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