Conjoint Analysis in R??

[faisal afzal siddiqui]

Pls advise how I can use R in conjoint analysis??

regds
Faisal Afzal Siddiqui
Karachi, Pakistan


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[Domenico Vistocco]

http://tolstoy.newcastle.edu.au/R/help/05/06/6104.html
http://tolstoy.newcastle.edu.au/R/help/05/06/6103.html

domenico

faisal afzal siddiqui wrote:

> Pls advise how I can use R in conjoint analysis??
>
> regds
> Faisal Afzal Siddiqui
> Karachi, Pakistan
>
>
>       ____________________________________________________________________________________
> Looking for last minute shopping deals?
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

[paulandpen]

Faisal,

can you elaborate further on your conjoint design....

there is bayesm which offers a hierarchical bayes approach to analysing
choice data

MLogit available through zelig (see below)

http://gking.harvard.edu/zelig/docs/index.html

MNP as a standalone package for the probit model

thanks Paul


----- Original Message -----
From: "faisal afzal siddiqui" <[hidden email]>
To: "R Help" <[hidden email]>
Sent: Thursday, December 06, 2007 6:00 PM
Subject: [R] Conjoint Analysis in R??

> Pls advise how I can use R in conjoint analysis??
>
> regds
> Faisal Afzal Siddiqui
> Karachi, Pakistan
>
>
>
> ____________________________________________________________________________________
> Looking for last minute shopping deals?
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

[Jonathan Baron]

Another possibility is ace {acepack}.  See

Gurmankin Levy, A., & Baron, J. (2005). How bad is a 10% chance of
losing a toe? Judgments of probabilistic conditions by doctors and
laypeople. Memory and Cognition, 33, 1399-1406.

for a published example.

Jon
--
Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~baron
Editor: Judgment and Decision Making (http://journal.sjdm.org)

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[fasidfas]

I have developed a package for conjoint analysis in R, you may use package "faisalconjoint".

[fasidfas]

A conjoint package is developed, you may use package "faisalconjoint"

[Colin Birth]

Hi all,

are there any packages to perform a market simulation with the conjoint analysis' results?

Thanks,

Colin

[bbolker]

Colin Birth <colin.birth <at> gmail.com> writes:

>
> Hi all,
>
> are there any packages to perform a market simulation with the conjoint
> analysis' results?
>

  I don't know, but have you looked through the results of

library("sos")
findFn("{conjoint analysis}")

?

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[Bert Gunter]

It took me 11.43 seconds to type a google search on "R package
conjoint analysis" to find the package "conjoint."

???

-- Bert



On Wed, Nov 28, 2012 at 6:26 AM, Ben Bolker <[hidden email]> wrote:

> Colin Birth <colin.birth <at> gmail.com> writes:
>
>>
>> Hi all,
>>
>> are there any packages to perform a market simulation with the conjoint
>> analysis' results?
>>
>
>   I don't know, but have you looked through the results of
>
> library("sos")
> findFn("{conjoint analysis}")
>
> ?
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

--

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: [phone]
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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