hello

This function shows a standard text on the console. In a time-honored
tradition, it defaults to displaying hello, world.

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

hello function

<dl><dt>txt</dt>
<dd>An optional character variable, defaults to &#8216;world&#8217;</dd></dl>

Arguments

A placeholder function using roxygen — hello

<dl>

<dt>txt</dt>
<dd>An optional character variable, defaults to &#8216;world&#8217;</dd>

</dl>

hello: A placeholder function using roxygen

Description

Usage

Value

Arguments

Examples