Basic Functions for Supporting an Implementation of Choice Experiments
Making a data set from a choice experiment design and respondent data ...
Generating artificial responses to choice experiment questions
Calculating goodness-of-fit measures
Creating a choice experiment design using the L^MA method
Making a data set
Converting a choice experiment design into a design matrix
Calculating the marginal willingness to pay
Converting a choice experiment design into a choice experiment questio...
Creating a choice experiment design using the rotation or mix-and-matc...
Basic functions for supporting an implementation of choice experiments
Synthetic respondent data sets
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) <doi:10.1017/CBO9780511753831> for details on CEs, and Aizaki (2012) <doi:10.18637/jss.v050.c02> for the package.