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
Hi,
try package MNP for a starting point - which could be used for
choice-based-conjoint!
And here a paper which show you that a normal Conjoint design
is nothing others than a regression analysis, which could ready easy used
with little bit programming in R.
(IHG)
Sent: martes, 07 de junio de 2005 12:18
To: 'r-help@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
Hi,
The conf.design package should help you handle the experimental design
side of your problem. Depending on your application, it may be unwise to
assume that main effects will be enough, as interactions can often turn
out to be important (at least in my experience with discrete conjoint).
Another approach, not mentioned yet, is to use ace, in the
acepack package. I have used this in an article (with Andy
Gurmankin) coming out soon in Memory and Cognition, which I could
send by email. It isn't obvious to me that this will (or that it
won't) work with a fractional factorial design;