search for: conjoint

Displaying 20 results from an estimated 54 matches for "conjoint".

2005 Jun 07
4
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...
2010 Oct 28
0
Consultant needed for WTP analysis based on results from a conjoint survey
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...
2007 Dec 06
5
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?
2004 Mar 31
2
choice-based conjoint
Hello everyone, I am new to this list and the R-Project, so I hope my question is not trivial or has been answered before. I searched the FAQs and the mailing list archives and I could not find anything about Conjoint Analysis. I am especially interested in Choice-based Conjoint, resp. discrete choice models. Is there a function / module that handles this issue? Or can the multinomial logit model be used? I would doubt the latter, for in a Choice-based Conjoint analysis the choice has to be conditioned to the...
2012 Sep 13
1
fractional balanced design conjoint analysis
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...
2010 Jun 14
3
Design of experiments for Choice-Based Conjoint Analysis (CBC)
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 same number of case for each...
2009 Sep 09
0
new package MLCM: Maximum Likelihood Conjoint Measurement
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 is higher on a specified dimension. For example, stimuli may be go...
2010 Sep 09
0
Help with HB analysis in R for a conjoint study Data
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...
2009 Sep 09
0
new package MLCM: Maximum Likelihood Conjoint Measurement
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 is higher on a specified dimension. For example, stimuli may be go...
2012 Dec 02
0
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? ----- TO GET MORE DETAILS CLICK HERE -- View this message in context: http://r.789695.n4.nabble....
2009 May 12
1
Can anyone suggest some r packages for Experimental Designs, specifically for choice and conjoint??? (or is intersted in helping me make 1)
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) Specifically, the problem is that none of them optimise the design for main effects or 2-way effects balance. So although the ''d-efficiency'' is optimised some 2 way interactions are not pre...
2004 May 15
3
what statistical method should i use?
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
2007 May 15
2
Problem with lme4
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.
2010 Jul 08
1
New R-SIG for Discrete Choice Modelling
...ce 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 experimental design in the traditional sense (i.e. generation and evaluation of fractional factorials and balanced incomplete blocks) the use of packages can be daunting for the novice. This list can be a source of help for applied DC/SP/CBC resear...
2007 Feb 10
1
SAS, SPSS Product Comparison Table
...g target like this ever is!) Thanks, Bob Topic SAS Product SPSS Product R Package Advanced Models SAS/STAT SPSS Advanced Models(tm) R Automated Data Preparation None SPSS Data Preparation(tm) None? Automated Forecasting SAS Forecast Studio DecisionTime/WhatIf(tm) None? Basics SAS SPSS Base(tm) R Conjoint Analysis SAS/STAT: Transreg SPSS Conjoint(tm) Acepack? Correspondence Analysis SAS/STAT: Corresp SPSS Categories(tm) Homals, MASS, FactoMineR, ade4, PTAk, ccoresp, vegan, made4,PsychoR Custom Tables Base: Proc Tabulate SPSS Custom Tables(tm) reshape Data Mining Enterprise Miner Clementine Rattle Ex...
2024 Apr 23
0
[ANNOUNCE] rendercheck 1.6
Aaron Plattner (1): Skip shmblend if SHM pixmaps aren't supported Adam Jackson (4): triangles: Fix tests for conjoint and disjoint ops Be valgrind-clean Don't fail to find the a8r8g8b8 format pointlessly Enable a few more formats Alan Coopersmith (3): Update bug tracker URL in man page gitlab CI: add a basic build test t_repeat.c, t_triangles.c: convert from ISO-8859-1 to U...
2005 Apr 16
0
bayesm: a package for Bayesian infererence for Marketing/Micro-Econometrics
...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 Hierarchical Multinomial Logits with mixture of normals prior Bayesian analysis of choice-based conjoint data Bayesian treatment of linear instrumental variables models Analyis of Multivariate Ordinal survey data with scale usage heterogeneity after installing the package, use help.search("mcmc") to display the key functions. bayem implements the models discussed in our book, Bayesian Sta...
2009 Sep 19
0
homals package and core loop
...ow be numerical ("continuous"). Otherwise the package will keep its many analysis options (multi-set non-metric canonical analysis, non-metric discriminant analysis, non-metric regression, multiple correspondence analysis, non-metric principal components analysis, non-metric additive conjoint analysis) and its many plot options. ==================================================================== Jan de Leeuw, 11667 Steinhoff Rd, Frazier Park, CA 93225 home 661-245-1725 mobile 661-231-5416 work 310-825-9550 .mac: jdeleeuw +++ aim: deleeuwjan +++ skype: j_deleeuw =====...
2005 Dec 07
0
R programming job in Boston
...siness environment (marketing, market research, etc.) * Modeling experience in linear and nonlinear regression, logistic regression, cluster analysis or other multivariate methods required * Excellent written, oral, and presentation skills * Experience with latent-class models * Experience with conjoint and discrete choice models * Experience with Bayesian models and simulation models * Proficiency with R, S-Plus a must, further experience with SAS, Stata, Matlab, and SPSS a plus. * Knowledge of multi-dimensional visualization techniques. * Ability to translate business problems into technical...
2008 Feb 06
0
kruskal's MONANOVA algorithm
I am trying to obtain the Kruskal (1964) secondary least-squares monotonic transformation of a rank variable given 4 categorical variables in order to obtain optimal transformation for regression. The academic problem assigned is to compare R, SPSS (Conjoint Analysis), and SAS' proc transreg in speed and accuracy. Currently, SAS and SPSS are giving similar results, but R's are quite different. There is something I am misunderstanding about acepackage and/or isoMDS. The data looks like this: Brand Price Life Hazard Rank 1 Goodstone $69.99...