2024-03-29T13:24:12Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/577862022-11-17T02:08:08Zhdl_2115_20046hdl_2115_138Basic functions for supporting an implementation of choice experiments in RAizaki, HideoChoice setConditional logit modelMarginal willingness to payQuestionnaireRho-squaredSurvivalDoE.base350The 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.Journal of statistical software. Vol. 50, code snippet 2, Sep 2012.American Statistical AssociationJournal Articleapplication/gziptext/plainapplication/pdfhttp://hdl.handle.net/2115/57786https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/57786/2/support.CEs_0.2-4.tar.gzhttps://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/57786/3/v50c02.Rhttps://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/57786/1/v50c02.pdf1548-7660Journal of statistical software501242012-09enghttp://creativecommons.org/licenses/by/3.0/publisher