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Basic functions for supporting an implementation of choice experiments in R

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/57786

Title: Basic functions for supporting an implementation of choice experiments in R
Authors: Aizaki, Hideo Browse this author →KAKEN DB
Keywords: Choice set
Conditional logit model
Marginal willingness to pay
Questionnaire
Rho-squared
Survival
DoE.base
Issue Date: Sep-2012
Publisher: American Statistical Association
Citation: Journal of statistical software. Vol. 50, code snippet 2, Sep 2012.
Journal Title: Journal of statistical software
Volume: 50
Start Page: 1
End Page: 24
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.
Rights: http://creativecommons.org/licenses/by/3.0/
Type: article
URI: http://hdl.handle.net/2115/57786
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 合崎 英男

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