scalablebayesm:Distributed Markov Chain Monte Carlo for Bayesian Inference in
Marketing
Estimates unit-level and population-level parameters from a hierarchical model in marketing applications. The package
includes: Hierarchical Linear Models with a mixture of normals
prior and covariates, Hierarchical Multinomial Logits with a
mixture of normals prior and covariates, Hierarchical
Multinomial Logits with a Dirichlet Process prior and
covariates. For more details, see Bumbaca, F. (Rico), Misra,
S., & Rossi, P. E. (2020) <doi:10.1177/0022243720952410>
"Scalable Target Marketing: Distributed Markov Chain Monte
Carlo for Bayesian Hierarchical Models". Journal of Marketing
Research, 57(6), 999-1018.
