combine_draws

<code>combine_draws</code> combines and resamples parameter draws returned from an MCMC algorithm.

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.

Federico Bumbaca

scalablebayesm

Distributed Markov Chain Monte Carlo for Bayesian Inference in
Marketing

Jackson Novak

combine_draws function

<dl><dt>draws</dt>
<dd>A list of draws from a posterior predictive distribution</dd>
<dt>r</dt>
<dd>Number of MCMC draws</dd></dl>

Arguments

Federico Bumbaca, Leeds School of Business, University of Colorado Boulder, <a href="/link/federico.bumbaca%40colorado.edu?package=scalablebayesm&version=0.2" data-mini-rdoc="scalablebayesm::federico.bumbaca@colorado.edu">federico.bumbaca@colorado.edu</a>

Author

Combine Lists of Draws From a Posterior Predictive Distribution — combine_draws

<dl>

<dt>draws</dt>
<dd>A list of draws from a posterior predictive distribution</dd>


<dt>r</dt>
<dd>Number of MCMC draws</dd>

</dl>

Federico Bumbaca, Leeds School of Business, University of Colorado Boulder, <a href='mailto:federico.bumbaca@colorado.edu'>federico.bumbaca@colorado.edu</a>

combine_draws: Combine Lists of Draws From a Posterior Predictive Distribution

Description

Usage

Value

Arguments

Author

References

See Also