# Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing

## Documentation for package ‘scalablebayesm’ version 0.2

- DESCRIPTION file.

## Help Pages

combine_draws | Combine Lists of Draws From a Posterior Predictive Distribution
drawMixture | Gibbs Sampler Inference for a Mixture of Multivariate Normals
drawPosteriorParallel | Draw from Posterior Parallel Distribution
hello | A placeholder function using roxygen
partition_data | Partition Data Into Shards
rheteroLinearIndepMetrop | Distributed Independence Metropolis-Hastings Algorithm for Draws From Multivariate Normal Distribution
rheteroMnlIndepMetrop | Independence Metropolis-Hastings Algorithm for Draws From Multinomial Distribution
rhierLinearDPParallel | MCMC Algorithm for Hierarchical Linear Model with Dirichlet Process Prior Heterogeneity
rhierLinearMixtureParallel | MCMC Algorithm for Hierarchical Multinomial Linear Model with Mixture-of-Normals Heterogeneity
rhierMnlDPParallel | MCMC Algorithm for Hierarchical Multinomial Logit with Dirichlet Process Prior Heterogeneity
rhierMnlRwMixtureParallel | MCMC Algorithm for Hierarchical Multinomial Logit with Mixture-of-Normals Heterogeneity
sample_data | Sample Data
s_max | Calculate Maximum Number of Shards