R: Basic Functions for Supporting an Implementation of Choice Experiments

# Basic Functions for Supporting an Implementation of Choice Experiments

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

- DESCRIPTION file
- Package NEWS

## Help Pages

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