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support.CEs (version 0.7-0)

Basic Functions for Supporting an Implementation of Choice Experiments

Description

Provides basic functions that support an implementation of (discrete) choice experiments (CEs). CEs is a question-based survey method measuring people's preferences for goods/services and their characteristics. Refer to Louviere et al. (2000) for details on CEs, and Aizaki (2012) for the package.

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Version

Install

install.packages('support.CEs')

Monthly Downloads

1,107

Version

0.7-0

License

GPL (>= 2)

Maintainer

Hideo Aizaki

Last Published

November 3rd, 2023

Functions in support.CEs (0.7-0)

syn.res1, syn.res2, syn.res3

Synthetic respondent data sets

rotation.design

Creating a choice experiment design using the rotation or mix-and-match method

support.CEs-package

Basic functions for supporting an implementation of choice experiments

Synthetic respondent data set: residents' valuation of rural environment conservation plan

Synthetic respondent data set: consumers' valuation of pork

Synthetic respondent data set: consumers' valuation of rice

Calculating the marginal willingness to pay

Calculating goodness-of-fit measures

Converting a choice experiment design into a choice experiment questionnaire

Creating a choice experiment design using the L^MA method

Making a data set

make.design.matrix

Converting a choice experiment design into a design matrix

Making a data set from a choice experiment design and respondent data set

Generating artificial responses to choice experiment questions