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Basic Functions for Supporting an Implementation of Choice Experiments in R | Aizaki | Journal of Statistical Software
Authors: Hideo Aizaki
Title: Basic Functions for Supporting an Implementation of Choice Experiments in R
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.

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Paper: Basic Functions for Supporting an Implementation of Choice Experiments in R     Download PDF (Downloads: 6345)
Supplements:
support.CEs_0.2-4.tar.gz: R source package Download (Downloads: 696; 18KB)
v50c02.R: R example code from the paper Download (Downloads: 767; 2KB)

DOI: 10.18637/jss.v050.c02

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