% BINARY REGRESSION TOOLBOX % % Jim Albert - April 19, 1998 % % -------------------------------------------------------------------------------- % Basic fitting and model checking programs % -------------------------------------------------------------------------------- % % breg_mle - finds maximum likelihood fit and goodness-of-fit diagnostics % % breg_bay - MCMC simulation of Bayesian posterior with a conditional means prior % % b_probit - Gibbs sampling for a probit regression model using data augmentation % % --------------------------------------------------------------------------------- % Additional Bayesian programs % --------------------------------------------------------------------------------- % % lfitted - summarizes posterior distribution for fitted probabilities % and residual distributions for logistic fit % % lfitted2 - outputs simulated sample for fitted probabilities for selected % for logistic fit % % cmp - computation of posterior mode, approximate posterior variance-, % covariance matrix and log marginal density using Laplace's method % % ---------------------------------------------------------------------------------- % Datasets and example runs % ---------------------------------------------------------------------------------- % % stat.dat - student grades example from Chapter 3 % swimmer.dat - data from 1990 Pilot Surf/Health Study % donner.dat - Donner and Reed families data % % example.m - m-file illustrating computations for student grades dataset % % ----------------------------------------------------------------------------------