prep_newprediction

Makes sure the factor levels in <code>data_new</code> are aligned with <code>data_old</code>
This is helpful for demand simulations.

Implements choice models based on economic theory, including estimation using Markov chain Monte Carlo (MCMC), prediction, and more. Its usability is inspired by ideas from 'tidyverse'. Models include versions of the Hierarchical Multinomial Logit and Multiple Discrete-Continous (Volumetric) models with and without screening. The foundations of these models are described in Allenby, Hardt and Rossi (2019) <doi:10.1016/bs.hem.2019.04.002>. Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) <doi:10.1016/j.ijresmar.2022.04.001>. Models with set-size variation are described in Hardt and Kurz (2020) <doi:10.2139/ssrn.3418383>.

Nino Hardt

echoice2

Choice Models with Economic Foundation

prep_newprediction function

<dl><dt>data_new</dt>
<dd>New long-format choice data</dd>
<dt>data_old</dt>
<dd>Old long-format choice data</dd></dl>

Arguments

Match factor levels between two datasets — prep_newprediction

<dl>

<dt>data_new</dt>
<dd>New long-format choice data</dd>


<dt>data_old</dt>
<dd>Old long-format choice data</dd>

</dl>

prep_newprediction: Match factor levels between two datasets

Description

Usage

Value

Arguments

Examples