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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | scalablebayesm_0.2.tar.gz |
422.1 KiB |
0.2 |
rolling linux/noble R-4.5 | scalablebayesm_0.2.tar.gz |
426.6 KiB |
0.2 |
rolling source/ R- | scalablebayesm_0.2.tar.gz |
66.8 KiB |
0.2 |
latest linux/jammy R-4.5 | scalablebayesm_0.2.tar.gz |
422.1 KiB |
0.2 |
latest linux/noble R-4.5 | scalablebayesm_0.2.tar.gz |
426.6 KiB |
0.2 |
latest source/ R- | scalablebayesm_0.2.tar.gz |
66.8 KiB |
0.2 |
2026-04-26 source/ R- | scalablebayesm_0.2.tar.gz |
66.8 KiB |
0.2 |
2026-04-23 source/ R- | scalablebayesm_0.2.tar.gz |
66.8 KiB |
0.2 |
2026-04-09 windows/windows R-4.5 | scalablebayesm_0.2.zip |
821.2 KiB |
0.2 |
2025-04-20 source/ R- | scalablebayesm_0.2.tar.gz |
66.8 KiB |