Man pages for scalablebayesm
Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing

combine_drawsCombine Lists of Draws From a Posterior Predictive...
drawMixtureGibbs Sampler Inference for a Mixture of Multivariate Normals
drawPosteriorParallelDraw from Posterior Parallel Distribution
helloA placeholder function using roxygen
partition_dataPartition Data Into Shards
rheteroLinearIndepMetropDistributed Independence Metropolis-Hastings Algorithm for...
rheteroMnlIndepMetropIndependence Metropolis-Hastings Algorithm for Draws From...
rhierLinearDPParallelMCMC Algorithm for Hierarchical Linear Model with Dirichlet...
rhierLinearMixtureParallelMCMC Algorithm for Hierarchical Multinomial Linear Model with...
rhierMnlDPParallelMCMC Algorithm for Hierarchical Multinomial Logit with...
rhierMnlRwMixtureParallelMCMC Algorithm for Hierarchical Multinomial Logit with...
sample_dataSample Data
s_maxCalculate Maximum Number of Shards
scalablebayesm documentation built on April 3, 2025, 7:55 p.m.