# Bayesian Inference for Marketing/Micro-Econometrics

## Documentation for package ‘bayesm’ version 3.1-7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bank | Bank Card Conjoint Data
breg | Posterior Draws from a Univariate Regression with Unit Error Variance
camera | Conjoint Survey Data for Digital Cameras
cgetC | Obtain A List of Cut-offs for Scale Usage Problems
cheese | Sliced Cheese Data
clusterMix | Cluster Observations Based on Indicator MCMC Draws
condMom | Computes Conditional Mean/Var of One Element of MVN given All Others
createX | Create X Matrix for Use in Multinomial Logit and Probit Routines
customerSat | Customer Satisfaction Data
detailing | Physician Detailing Data
eMixMargDen | Compute Marginal Densities of A Normal Mixture Averaged over MCMC Draws
ghkvec | Compute GHK approximation to Multivariate Normal Integrals
llmnl | Evaluate Log Likelihood for Multinomial Logit Model
llmnp | Evaluate Log Likelihood for Multinomial Probit Model
llnhlogit | Evaluate Log Likelihood for non-homothetic Logit Model
lndIChisq | Compute Log of Inverted Chi-Squared Density
lndIWishart | Compute Log of Inverted Wishart Density
lndMvn | Compute Log of Multivariate Normal Density
lndMvst | Compute Log of Multivariate Student-t Density
logMargDenNR | Compute Log Marginal Density Using Newton-Raftery Approx
margarine | Household Panel Data on Margarine Purchases
mixDen | Compute Marginal Density for Multivariate Normal Mixture
mixDenBi | Compute Bivariate Marginal Density for a Normal Mixture
mnlHess | Computes -Expected Hessian for Multinomial Logit
mnpProb | Compute MNP Probabilities
momMix | Compute Posterior Expectation of Normal Mixture Model Moments
nmat | Convert Covariance Matrix to a Correlation Matrix
numEff | Compute Numerical Standard Error and Relative Numerical Efficiency
orangeJuice | Store-level Panel Data on Orange Juice Sales
plot.bayesm.hcoef | Plot Method for Hierarchical Model Coefs
plot.bayesm.mat | Plot Method for Arrays of MCMC Draws
plot.bayesm.nmix | Plot Method for MCMC Draws of Normal Mixtures
rbayesBLP | Bayesian Analysis of Random Coefficient Logit Models Using Aggregate Data
rbiNormGibbs | Illustrate Bivariate Normal Gibbs Sampler
rbprobitGibbs | Gibbs Sampler (Albert and Chib) for Binary Probit
rdirichlet | Draw From Dirichlet Distribution
rDPGibbs | Density Estimation with Dirichlet Process Prior and Normal Base
rhierBinLogit | MCMC Algorithm for Hierarchical Binary Logit
rhierLinearMixture | Gibbs Sampler for Hierarchical Linear Model with Mixture-of-Normals Heterogeneity
rhierLinearModel | Gibbs Sampler for Hierarchical Linear Model with Normal Heterogeneity
rhierMnlDP | MCMC Algorithm for Hierarchical Multinomial Logit with Dirichlet Process Prior Heterogeneity
rhierMnlRwMixture | MCMC Algorithm for Hierarchical Multinomial Logit with Mixture-of-Normals Heterogeneity
rhierNegbinRw | MCMC Algorithm for Hierarchical Negative Binomial Regression
rivDP | Linear "IV" Model with DP Process Prior for Errors
rivGibbs | Gibbs Sampler for Linear "IV" Model
rmixGibbs | Gibbs Sampler for Normal Mixtures w/o Error Checking
rmixture | Draw from Mixture of Normals
rmnlIndepMetrop | MCMC Algorithm for Multinomial Logit Model
rmnpGibbs | Gibbs Sampler for Multinomial Probit
rmultireg | Draw from the Posterior of a Multivariate Regression
rmvpGibbs | Gibbs Sampler for Multivariate Probit
rmvst | Draw from Multivariate Student-t
rnegbinRw | MCMC Algorithm for Negative Binomial Regression
rnmixGibbs | Gibbs Sampler for Normal Mixtures
rordprobitGibbs | Gibbs Sampler for Ordered Probit
rscaleUsage | MCMC Algorithm for Multivariate Ordinal Data with Scale Usage Heterogeneity
rsurGibbs | Gibbs Sampler for Seemingly Unrelated Regressions (SUR)
rtrun | Draw from Truncated Univariate Normal
runireg | IID Sampler for Univariate Regression
runiregGibbs | Gibbs Sampler for Univariate Regression
rwishart | Draw from Wishart and Inverted Wishart Distribution
Scotch | Survey Data on Brands of Scotch Consumed
simnhlogit | Simulate from Non-homothetic Logit Model
summary.bayesm.mat | Summarize Mcmc Parameter Draws
summary.bayesm.nmix | Summarize Draws of Normal Mixture Components
summary.bayesm.var | Summarize Draws of Var-Cov Matrices
tuna | Canned Tuna Sales Data