I have a data set consisting of six independent environmental variables (all binomial: present/absent) and one dependent variable (binomial: disease present/absent). In order to determine the ...
I conducted a stated preference survey in which each respondent had to choose 1 set out of 3 choice sets (A, B and C), which are characterised by 4 attributes (let's say brand, color, size and ...
I have been asked to use conjoint analysis to find the price elasticity of a certain category of products. I have never used conjoint analysis before and have been reading about it for a while. I have ...
In a Conjoint study, it's difficult for respondents to evaluate more than 6 product attributes at a time. Often this is solved via the use of Adaptive Conjoint Analysis (ACA), in which the ...
While I have successfully used R for Cluster Analysis and Correspondence Analysis, I'm new to the use of R-project for Choice-Based Conjoint. Per recommendations in this post, I'm looking at the ...
I apologize in advance for the "how do I run this model in R" question, but it turns out that's the shape my problem has assumed :-). Hopefully I have enough substantive questions surrounding it to ...
Why do I get exact singularity when I add a dummy variable to a multinomial logistic using R mlogit?
I am using the mlogit package in R to run a multinomial logistic regression on pooled discrete choice data collected using two different questionnaire formats. I want to test whether the format had a ...
Could you recommend an easy to use or comprehensive conjoint analysis package for R?