Survey Data on Brands of Scotch Consumed
Posterior Draws from a Univariate Regression with Unit Error Variance
Conjoint Survey Data for Digital Cameras
Obtain A List of Cut-offs for Scale Usage Problems
Cluster Observations Based on Indicator MCMC Draws
Computes Conditional Mean/Var of One Element of MVN given All Others
Create X Matrix for Use in Multinomial Logit and Probit Routines
Compute Marginal Densities of A Normal Mixture Averaged over MCMC Draws
Compute GHK approximation to Multivariate Normal Integrals
Evaluate Log Likelihood for Multinomial Logit Model
Evaluate Log Likelihood for Multinomial Probit Model
Evaluate Log Likelihood for non-homothetic Logit Model
Compute Log of Inverted Chi-Squared Density
Compute Log of Multivariate Normal Density
Compute Log of Multivariate Student-t Density
Compute Log Marginal Density Using Newton-Raftery Approx
Household Panel Data on Margarine Purchases
Compute Marginal Density for Multivariate Normal Mixture
Compute Bivariate Marginal Density for a Normal Mixture
Computes -Expected Hessian for Multinomial Logit
Compute Posterior Expectation of Normal Mixture Model Moments
Convert Covariance Matrix to a Correlation Matrix
Compute Numerical Standard Error and Relative Numerical Efficiency
Store-level Panel Data on Orange Juice Sales
Plot Method for Hierarchical Model Coefs
Plot Method for MCMC Draws of Normal Mixtures
Density Estimation with Dirichlet Process Prior and Normal Base
Bayesian Analysis of Random Coefficient Logit Models Using Aggregate Data
Illustrate Bivariate Normal Gibbs Sampler
Gibbs Sampler (Albert and Chib) for Binary Probit
MCMC Algorithm for Hierarchical Binary Logit
Gibbs Sampler for Hierarchical Linear Model with Mixture-of-Normals Heterogeneity
Gibbs Sampler for Hierarchical Linear Model with Normal Heterogeneity
MCMC Algorithm for Hierarchical Multinomial Logit with Dirichlet Process Prior Heterogeneity
MCMC Algorithm for Hierarchical Multinomial Logit with Mixture-of-Normals Heterogeneity
MCMC Algorithm for Hierarchical Negative Binomial Regression
Linear "IV" Model with DP Process Prior for Errors
Gibbs Sampler for Normal Mixtures w/o Error Checking
MCMC Algorithm for Multinomial Logit Model
Draw from the Posterior of a Multivariate Regression
MCMC Algorithm for Negative Binomial Regression
MCMC Algorithm for Multivariate Ordinal Data with Scale Usage Heterogeneity
Gibbs Sampler for Seemingly Unrelated Regressions (SUR)
Draw from Wishart and Inverted Wishart Distribution
Simulate from Non-homothetic Logit Model
Summarize Draws of Normal Mixture Components