similar to: choice-based conjoint

Pls advise how I can use R in conjoint analysis?? regds Faisal Afzal Siddiqui Karachi, Pakistan ____________________________________________________________________________________ Looking for last minute shopping deals?

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

Hello, I would like to know if there is any function in R which allows to make designs of experiments for Choice-Based Conjoint studies ? I have already checked the topic on " design of experiments with R " and looked at the different libraries. I tried to make my design with the "optFedorov" function but I haven't found how it can allow to have balanced design (with the

Afternoon everyone, I''ve spent the last week or so looking at all the experimental design packages I can find in R. AlgDesign, design.conf and BHH2 being the best one I could find. Unfortunately none of these do a particularly good job for complex designs, in particular for conjoint or discrete choice. (or perhaps they do, and I can''t make them work correctly)

L.S. We would like to generate fractional design for a conjoint analysis. For example we would like to reduce 2x2x2x2x3 --> 12-16 profiles. We tried the R-package "conjoint" and we found an article which describes how to make fractional design for these kinds of studies with Algdesign: http://tolstoy.newcastle.edu.au/R/e10/help/att-8876/DCE_with_R.pdf However, the generated

We are in the process of analyzing data from a discrete-choice conjoint survey and are looking for a consultant who can help us assess willingness to pay (WTP). We are currently able to assess overall WTP using the coefficients from our conjoint analysis but would like assistance in determining if significant differences in WTP exist across a number of subgroups via a segmented analysis or some

Hello all, I'd like to announce the availability of a mailing list for a newly-formed SIG (Special Interest Group) dedicated to using R for Discrete Choice Modelling. This list is intended for discussion of issues revolving around the design and analysis of Discrete Choice (aka Stated Choice, Stated Preference or Choice-Based Conjoint) experiments. While R has good infrastructure for

Pls advise how I can use R in conjoint analysis?? regds Faisal Afzal Siddiqui Karachi, Pakistan ____________________________________________________________________________________ Looking for last minute shopping deals? ----- TO GET MORE DETAILS CLICK HERE -- View this message in context: http://r.789695.n4.nabble.com/Conjoint-Analysis-in-R-tp4651650.html Sent from the R help

Dear Group I was referring to a conjoint analysis scenario using R from the paper referred below: Agricultural Information Research 17(2),2008,86-94 available online at www.jstage.jst.go.jp/ This paper describes the data modelling of a conjoint study design based on conditional logit procedure. I understand that Heirarchical Bayes is asymptotically equivalent to Conditionallogit. However it

This is to announce a new package MLCM on CRAN. The package provides functions for estimating perceptual scales by maximum likelihood from data collected in a conjoint measurement experiment. Data for conjoint measurement are typically collected using a psychophysical procedure. The stimuli vary along 2 or more dimensions. The observer views pairs of stimuli and judges which stimulus of each pair

This is to announce a new package MLCM on CRAN. The package provides functions for estimating perceptual scales by maximum likelihood from data collected in a conjoint measurement experiment. Data for conjoint measurement are typically collected using a psychophysical procedure. The stimuli vary along 2 or more dimensions. The observer views pairs of stimuli and judges which stimulus of each pair

in order to know which production the custumer most like,i design a question as follow : Q:there are six production listed below.according to your preference,the production you like most is_____,the production you secondly like is ____,and the third is_____. productionA productionB productionC productionD productionE productionF when the data is collected. i type in a

Ok, How ? I'm there isn't much support about this... Should I be playing with Relays or Aliases? <p>>From: Moritz Grimm <gtgbr@gmx.net> >Reply-To: icecast@xiph.org >To: icecast@xiph.org >Subject: Re: [icecast] Internet Streaming >Date: Tue, 05 Feb 2002 02:47:51 +0100 > >Bill Thomas wrote: > > As of now, I can broadcast my stream to my school's

This reminds me of a problem I've been having occasionally with ices... once in a while, instead of properly decoding and re-encoding the MP3 for my stream, it'll stream gibberish (basically, it sounds like a "cooked" MP3). After that, maybe 1 time out of 3, it'll segfault and crash. Even in verbose mode, ices doesn't report anything other than "resyncing".

I am looking into using the multinomial logistic regression option in the nnet library and have two questions about formatting the data. 1. Can data be analysed in the following format or does it need to be transformed into count data, such as the housing data in MASS? Id Crime paranoia hallucinate toc disorg crimhist age 1 2 1 0 1 0 1 25 2 2 0 1 1 1 1 37 3 1 1 0 1 1 0 42 4 3 0

Hi - I'm having a problem trying to use the function GLMM() from lme4. Here is what happens: > library(lme4) Loading required package: Matrix Loading required package: lattice > f1 <- GLMM(success~yearF, data=quality, random=~1|bandnumb, family=binomial, method=PQL) Error: couldn't find function "GLMM" I remember having used lme4 before, without any problem.

Hello, For my master thesis I conducted a conjoint analysis. Using the mlogit-package of Yves Croissant I should be able to analyse my choice data. I read the whole program of mlogit, but I do not understand how my coefficients must be interpreted. Are they a result of P(Y=i) or are they P(Y=i)/P(Y=1) where 1 is my base category, or are they a result of ln(P(Y=i)/P(Y=1)). I can not find an answer

On Wed, 6 Feb 2002, Jack Moffitt wrote: > ices is built on libshout. libshout should have perfect timing and it > also detects and discards corrupt frames and supports VBR streams. It > is basically the _new_ version of shout. ices refuses to load. It whines about libmp3lame.so.0 being missing. I found the message in the archives that supposedly forces ices to compile with lame

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates