% TEACHING BAYES TOOLBOX

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%   Jim Albert - August 20, 1997

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% Inference About a Categorical Model

%   bayes      - Bayes' rule for a independent sequence of outcomes

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% Inference About One Proportion

%   p_disc     - posterior probabilities using discrete prior

%   p_disc_p   - predictive probabilities using discrete prior

%   p_beta_p   - predictive probabilities using beta prior

%   p_beta_t   - test of a proportion value using a beta prior

%   p_hist_p   - posterior probabilities of intervals using a histogram prior

%   beta_sel   - selecting a beta prior using predictive statements

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% Inference About Two Proportions

%   pp_prior   - construction of a discrete prior

%   pp_disc    - posterior probabilities using a discrete prior   

%   pp_bet_t   - performs a test that two proportions are equal using beta priors

%   pp_exch    - posterior distribution using an exchangeable prior

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% Inference About a Normal Mean

%   m_disc     - posterior distribution for a normal mean with discrete models 

%   normal_s   - finds normal distribution which matches two percentiles

%   m_cont     - simulated sample from the posterior for normal data, vague prior

%   m_norm_t   - performs a test that a normal mean is equal to a specific value

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% Inference About Relationships

%   bay_reg    - simulated sample from the posterior for a normal regression model

%   c_table    - Bayes factor for testing independence in a contingency table

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% General Inference Programs

%   mod_disc   - posterior distribution for discrete models

%   mod_crit   - model criticism for discrete models

%   mod_cont   - posterior distribution for continuous models

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% Summarization of a Posterior Distribution

%   laplace    - summarizes a posterior density by the Laplace method

%   ad_quad1   - summarizes a one-parameter posterior by adaptive quadrature

%   ad_quad2   - summarizes a two-parameter posterior by adaptive quadrature

%   metrop     - simulates from a 1-parameter posterior using Metropolis algorithm

%   gibbs      - simulates from a multi-parameter posterior using the Gibbs sampler

%   logpost1   - example of a one-parameter log posterior definition

%   logpost2   - example of a two-parameter log posterior definition

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% Utility Programs

%   disc_int   - highest probability interval for a discrete distribution

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% GUI Programs

%   gpdisc     - graphical user interface for proportion inference with a discrete prior







