[R] Conjoint in R

[max.marinucci]

Hi there
Maybe you can find useful The isoreg {modreg} package which does Monotone
regression. This is probably what you need to model your data.

Nonetheless be aware you need to code properly your design matrix 
(use orthogonal polynomial codes)

The difference in using MNP or ordered probit is that with Monotonic
regression you will have individual partworths utilities. Then you may
aggregate your data on an individual level analysis.

Hope this helps
Regards
**********************************************
Massimiliano Marinucci
http://personales.ya.com/max_mar/
Ph.D Candidate in Economics
Fundamentos del Analisis Económico II
(Economía Cuantitativa)
Facultad de CC.EE.
Universidad Complutense Madrid
Campus de Somosaguas
Madrid - Spain
**********************************************


-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Cela, Jimmy (IHG)
Sent: martes, 07 de junio de 2005 12:18
To: 'r-help at stat.math.ethz.ch'
Subject: [R] Conjoint in R


Hello all,


I am trying to apply a conjoint analysis in order to determine the best
profile that captures the most preferred combination of levels of given
categorical factors.

For this a set of factors is given and initially a fractional factorial
design has to be produced as a subset of all possible factor levels
combinations, sufficient to estimate the main effects utilities. 

Then the preference for each chosen combination is assessed via surveys on
subjects (clients). Preferences are given by ranking profiles ordinally.

Conjoint analysis then is applied on the preference data to estimate the
utility values - or the "part worth" for each factor level.

SPSS 13.0 has a module called CONJOINT that handles such problem from
designing the fractional factorial design to the conjoint analysis.

What would be the best way to implement such analysis in R?

Thank you.

Jimmy Cela

Decision Sciences
InterContinental Hotels Group Inc
Atlanta, GA 
USA

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