Basic Functions for Supporting an Implementation of Choice Experiments

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Documentation for package ‘support.CEs’ version 0.7-0

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support.CEs-package Basic functions for supporting an implementation of choice experiments
ce.dataset Making a data set from a choice experiment design and respondent data set
ce.response Generating artificial responses to choice experiment questions
gofm Calculating goodness-of-fit measures
Lma.design Creating a choice experiment design using the L^MA method
make.dataset Making a data set
make.design.matrix Converting a choice experiment design into a design matrix
mwtp Calculating the marginal willingness to pay
pork Synthetic respondent data set: consumers' valuation of pork
print.cedes Creating a choice experiment design using the L^MA method
print.gofm Calculating goodness-of-fit measures
print.mwtp Calculating the marginal willingness to pay
questionnaire Converting a choice experiment design into a choice experiment questionnaire
rice Synthetic respondent data set: consumers' valuation of rice
rotation.design Creating a choice experiment design using the rotation or mix-and-match method
rural Synthetic respondent data set: residents' valuation of rural environment conservation plan
support.CEs Basic functions for supporting an implementation of choice experiments
syn.res1 Synthetic respondent data sets
syn.res2 Synthetic respondent data sets
syn.res3 Synthetic respondent data sets