Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package

Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package

: optimal designs, discrete choice experiments, adaptive, mixed logit, shiny, R.

Discrete choice experiments are widely used in a broad area of research fields to capture
the preference structure of respondents. The design of such experiments will determine
to a large extent the accuracy with which the preference parameters can be estimated.
This paper presents a new R package, called idefix, which enables users to generate optimal designs for discrete choice experiments. Besides Bayesian D-efficient designs for the
multinomial logit model, the package includes functions to generate Bayesian adaptive
designs which can be used to gather data for the mixed logit model. In addition, the
package provides the necessary tools to set up actual surveys and collect empirical data.
After data collection, idefix can be used to transform the data into the necessary format
in order to use existing estimation software in R.

Frits Traets

https://www.jstatsoft.org/article/view/v096i03

KU Leuven

November 2020

Fajar bagus W

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Indonesia

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