Basic Functions for Supporting an Implementation of Choice Experiments in R

Hideo Aizaki

Journal of Statistical Software, 2012, vol. 050, issue c02

Abstract: The package support.CEs provides seven basic functions that support the implementation of choice experiments (CEs) in R: two functions for creating a CE design, which is based on orthogonal main-effect arrays; a function for converting a CE design into questionnaire format; a function for converting a CE design into a design matrix; a function for making the data set suitable for the implementation of a conditional logit model; a function for calculating the goodness-of-fit measures of an estimated model; and a function for calculating the marginal willingness to pay for the attributes and/or levels of the estimated model.

Date: 2012-09-22
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:050:c02

DOI: 10.18637/jss.v050.c02

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