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conjoint (version 1.42)

An Implementation of Conjoint Analysis Method

Description

This is a simple R package that allows to measure the stated preferences using traditional conjoint analysis method.

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Install

install.packages('conjoint')

Monthly Downloads

1,380

Version

1.42

License

GPL

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Maintainer

Tomasz Bartlomowicz

Last Published

June 9th, 2025

Functions in conjoint (1.42)

wycieczka

Sample data for conjoint analysis
caLogit

Function caLogit estimates participation (market share) of the simulation profiles
caUtilities

Function caUtilities calculates utilities of levels of atrtributes
caImportance

Function caImportance calculates importance of all attributes
caModel

Function caModel estimates parameters of conjoint analysis model
plyty

Sample data for conjoint analysis
caPartUtilities

Function caPartUtilities calculates matrix of individual utilities
caFactorialDesign

Function caFactorialDesign creates full or fractional factorial design
caRecreatedDesign

Function caRecreatedDesign reconstructs factorial design
caSegmentation

Function caSegmentation divides respondents on clusters
tea

Sample data for conjoint analysis
caTotalUtilities

Function caTotalUtilities calculates matrix of theoreticall total utilities
caRankToScore

Function caRankToScore transforms ranking data into rating data design
chocolate

Sample data for conjoint analysis
ice

Sample data for conjoint analysis
ShowAllSimulations

Function ShowAllSimulations sums up the results of all simulation functions
journey

Sample data for conjoint analysis
czekolada

Sample data for conjoint analysis
ShowAllUtilities

Function ShowAllUtilities sums up all results of utility measures
caMaxUtility

Function caMaxUtility estimates participation (market share) of simulation profiles
lody

Sample data for conjoint analysis
Conjoint

Function Conjoint sums up the main results of conjoint analysis
herbata

Sample data for conjoint analysis
caBTL

Function caBTL estimates participation (market share) of simulation profiles
caEncodedDesign

Function caEncodedDesign encodes full or fractional factorial design