An Implementation of Conjoint Analysis Method
Function caBTL estimates participation (market share) of simulation pr...
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Sample data for conjoint analysis
Function caEncodedDesign encodes full or fractional factorial design
Function caFactorialDesign creates full or fractional factorial design
Function caImportance calculates importance of all attributes
Function caLogit estimates participation (market share) of the simulat...
Function caMaxUtility estimates participation (market share) of simula...
Function caModel estimates parameters of conjoint analysis model
Function caPartUtilities calculates matrix of individual utilities
Function caRankToScore transforms ranking data into rating data design
Function caRecreatedDesign reconstructs factorial design
Function caSegmentation divides respondents on clusters
Function caTotalUtilities calculates matrix of theoreticall total util...
Function caUtilities calculates utilities of levels of atrtributes
Function Conjoint sums up the main results of conjoint analysis
Function ShowAllSimulations sums up the results of all simulation func...
Function ShowAllUtilities sums up all results of utility measures
This is a simple R package that allows to measure the stated preferences using traditional conjoint analysis method.
Useful links