Other packages > Find by keyword >

scalablebayesm  

Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing
View on CRAN: Click here


Download and install scalablebayesm package within the R console
Install from CRAN:
install.packages("scalablebayesm")

Install from Github:
library("remotes")
install_github("cran/scalablebayesm")

Install by package version:
library("remotes")
install_version("scalablebayesm", "0.2")



Attach the package and use:
library("scalablebayesm")
Maintained by
Federico Bumbaca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-25
Latest Update: 2025-02-25
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.
How to cite:
Federico Bumbaca (2025). scalablebayesm: Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing. R package version 0.2, https://cran.r-project.org/web/packages/scalablebayesm. Accessed 13 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited scalablebayesm R package
View scalablebayesm citation profile
Other R packages that scalablebayesm depends, imports, suggests or enhances
Complete documentation for scalablebayesm
Functions, R codes and Examples using the scalablebayesm R package
Full scalablebayesm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cmdfun  
Framework for Building Interfaces to Shell Commands
Writing interfaces to command line software is cumbersome. 'cmdfun' provides a framework for buildi ...
Download / Learn more Package Citations See dependency  
tvmComp  
Discounting and Compounding Calculations for Various Scenarios
Functions for compounding and discounting calculations included here serve as a complete reference f ...
Download / Learn more Package Citations See dependency  
saeMSPE  
Computing MSPE Estimates in Small Area Estimation
We describe a new R package entitled 'saeMSPE' for the well-known Fay Herriot model and nested error ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
oii  
Crosstab and Statistical Tests for OII MSc Stats Course
Provides simple crosstab output with optional statistics (e.g., Goodman-Kruskal Gamma, Somers' d, an ...
Download / Learn more Package Citations See dependency  
TSEwgt  
Total Survey Error Under Multiple, Different Weighting Schemes
Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, using ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA