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scalablebayesm

Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing

v0.2 · Feb 25, 2025 · GPL (>= 2)

Description

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.

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r-devel-macos-arm64 OK
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NOTE r-oldrel-macos-arm64

installed package size

installed size is  8.8Mb
  sub-directories of 1Mb or more:
    libs   8.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  8.8Mb
  sub-directories of 1Mb or more:
    libs   8.6Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  8.8Mb
  sub-directories of 1Mb or more:
    libs   8.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  8.8Mb
  sub-directories of 1Mb or more:
    libs   8.6Mb

Dependency Network

Dependencies Reverse dependencies Rcpp bayesm scalablebayesm

Version History

new 0.2 Mar 10, 2026