Basic Functions for Supporting an Implementation of Choice Experiments in R
The 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.
questionnaire conditional logit model marginal willingness to pay choice set rho-squared survival doe.base