Hi,
I would like to ask a question that does not relate to Apollo itself but to choice models and their evaluation in general. I hope you can help me anyway.
We want to analyse scenarios (let's call them x,y,z). Suppose in our choice experiment there are 3 attributes A,B,C, each with three levels ...
Important: Read this before posting to this forum
- This forum is for questions related to the use of Apollo. We will answer some general choice modelling questions too, where appropriate, and time permitting. We cannot answer questions about how to estimate choice models with other software packages.
- There is a very detailed manual for Apollo available at http://www.ApolloChoiceModelling.com/manual.html. This contains detailed descriptions of the various Apollo functions, and numerous examples are available at http://www.ApolloChoiceModelling.com/examples.html. In addition, help files are available for all functions, using e.g. ?apollo_mnl
- Before asking a question on the forum, users are kindly requested to follow these steps:
- Check that the same issue has not already been addressed in the forum - there is a search tool.
- Ensure that the correct syntax has been used. For any function, detailed instructions are available directly in Apollo, e.g. by using ?apollo_mnl for apollo_mnl
- Check the frequently asked questions section on the Apollo website, which discusses some common issues/failures. Please see http://www.apollochoicemodelling.com/faq.html
- Make sure that R is using the latest official release of Apollo.
- Users can check which version they are running by entering packageVersion("apollo").
- Then check what is the latest full release (not development version) at http://www.ApolloChoiceModelling.com/code.html.
- To update to the latest official version, just enter install.packages("apollo"). To update to a development version, download the appropriate binary file from http://www.ApolloChoiceModelling.com/code.html, and install the package from file
- If the above steps do not resolve the issue, then users should follow these steps when posting a question:
- provide full details on the issue, including the entire code and output, including any error messages
- posts will not immediately appear on the forum, but will be checked by a moderator first. We check the forum at least twice a week. It may thus take a couple of days for your post to appear and before we reply. There is no need to submit the post multiple times.
Search found 4 matches
- 19 Dec 2024, 14:56
- Forum: Post-estimation analysis/use of results
- Topic: General choice modelling question
- Replies: 1
- Views: 26118
- 17 May 2024, 11:27
- Forum: Model specification
- Topic: Order of parameters in apollo_beta (LC model)
- Replies: 5
- Views: 10869
Re: Order of parameters in apollo_beta (LC model)
Thank you very much for your help!
- 02 May 2024, 10:11
- Forum: Model specification
- Topic: Order of parameters in apollo_beta (LC model)
- Replies: 5
- Views: 10869
Re: Order of parameters in apollo_beta (LC model)
Dear Prof. Hess,
the LL starting values are the same. I don't see any other difference either, but once the model converges and once it doesn't. I copied the entire code and only changed apollo_beta as specified, so there should be no difference in the code.
Here is the entire output of code one ...
the LL starting values are the same. I don't see any other difference either, but once the model converges and once it doesn't. I copied the entire code and only changed apollo_beta as specified, so there should be no difference in the code.
Here is the entire output of code one ...
- 29 Apr 2024, 12:09
- Forum: Model specification
- Topic: Order of parameters in apollo_beta (LC model)
- Replies: 5
- Views: 10869
Order of parameters in apollo_beta (LC model)
Dear Prof. Hess,
I am running a simple LC model (without covariates for now). All attributes are dummy coded.
I am confused because I have run the same model twice with a different order of attributes in the function appolo_beta. In one case attribute by attribute (as in the example)
apollo_beta ...
I am running a simple LC model (without covariates for now). All attributes are dummy coded.
I am confused because I have run the same model twice with a different order of attributes in the function appolo_beta. In one case attribute by attribute (as in the example)
apollo_beta ...