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]
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 02 Apr. 2025.
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
03/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/01Downloads for scalablebayesm02468101214161820TrendBars

Today's Hot Picks in Authors and Packages

pirate  
Generated Effect Modifier
An implementation of the generated effect modifier (GEM) method. This method constructs composite va ...
Download / Learn more Package Citations See dependency  
Maintainer: Zhe Su (view profile)
CodeDepends  
Analysis of R Code for Reproducible Research and Code Comprehension
Tools for analyzing R expressions or blocks of code and determining the dependencies between them. ...
Download / Learn more Package Citations See dependency  
binom  
Binomial Confidence Intervals for Several Parameterizations
Constructs confidence intervals on the probability of success in a binomial experiment via several ...
Download / Learn more Package Citations See dependency  
CTShiny  
Interactive Document for Working with Classification Tree Analysis
An interactive document on the topic of classification tree analysis using 'rmarkdown' and 'shiny' ...
Download / Learn more Package Citations See dependency  
geonapi  
'GeoNetwork' API R Interface
Provides an R interface to the 'GeoNetwork' API () allowing ...
Download / Learn more Package Citations See dependency  
munfold  
Metric Unfolding
Multidimensional unfolding using Schoenemann's algorithm for metric and Procrustes rotation of unfo ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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