Important: Read this before posting to this forum

  1. 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.
  2. 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
  3. Before asking a question on the forum, users are kindly requested to follow these steps:
    1. Check that the same issue has not already been addressed in the forum - there is a search tool.
    2. 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
    3. Check the frequently asked questions section on the Apollo website, which discusses some common issues/failures. Please see http://www.apollochoicemodelling.com/faq.html
    4. Make sure that R is using the latest official release of Apollo.
  4. If the above steps do not resolve the issue, then users should follow these steps when posting a question:
    1. provide full details on the issue, including the entire code and output, including any error messages
    2. posts will not immediately appear on the forum, but will be checked by a moderator first. This may take a day or two at busy times. There is no need to submit the post multiple times.

Search found 60 matches

by cybey
25 Nov 2022, 19:32
Forum: Models and estimation
Topic: MIXL model with a lot of probability mass close to zero
Replies: 7
Views: 13211

Re: MIXL model with a lot of probability mass close to zero

May I ask what you would do? Go for the loguniform distribution, as in this case, all parameters are random? Or would you model the "frequency" attribute as a fixed parameter to get around the problem with a sizable probability mass around zero?
by cybey
25 Nov 2022, 14:19
Forum: Models and estimation
Topic: MIXL model with a lot of probability mass close to zero
Replies: 7
Views: 13211

Re: MIXL model with a lot of probability mass close to zero

Yes, I worry about the signs. It's like estimating utility for charities: Respondents don't really like giving money away, but like the feeling of doing something good. In my case, it is a study on the constraints on the use of air conditioning in office buildings and the attribute "frequency&q...
by cybey
10 Nov 2022, 10:07
Forum: Examples (existing and requests for new ones)
Topic: ASCs in RRM example
Replies: 1
Views: 3814

ASCs in RRM example

I've just tried to specify my first RRM model within Apollo and everything seems fine, except for the alternative-specific constants (ASCs). The specification is based on the RRM example on the Apollo homepage. The following statement can be found in the manual on page 51: For the alternative specif...
by cybey
04 Nov 2022, 11:28
Forum: Models and estimation
Topic: MIXL model with a lot of probability mass close to zero
Replies: 7
Views: 13211

MIXL model with a lot of probability mass close to zero

Hello everyone, I need your advice on a MIXL model where a lot of probability mass is close to zero. My MIXL model has five attributes with multiple attribute levels each. Two attributes are continuous and negative, i.e., with increasing levels utility is supposed to decrease. However, these attribu...
by cybey
26 Jan 2022, 15:08
Forum: Bug reports
Topic: Using apollo_llCalc in Bayesian estimation
Replies: 3
Views: 9939

Re: Using apollo_llCalc in Bayesian estimation

Hi guys, Thanks for the quick reply. I am aware that with Bayesian estimation the calculation of the log-likelihood function is only point-wise. But this is exactly what I was looking for: If I understood it correctly, to calculate the WAIC, I have to sample from the posteriori distribution and calc...
by cybey
26 Jan 2022, 08:12
Forum: Bug reports
Topic: Using apollo_llCalc in Bayesian estimation
Replies: 3
Views: 9939

Using apollo_llCalc in Bayesian estimation

Helle Stephane, hello David, I have a question regarding apollo_llCalc in Bayesian estimation. I have a model with two components, both of them are MNL models. Whenever I try to run the function apollo_llCalc I get the following error message: Calculating LL of each model component...Not applicable ...
by cybey
30 Sep 2021, 10:45
Forum: Models and estimation
Topic: Scaling in joint model estimation with non-discrete dual response
Replies: 13
Views: 38579

Re: Scaling in joint model estimation with non-discrete dual response

Hi Stephane, Thank you very much for your answer and the articles. I already knew the one with Kenneth Train, but not the other from 2012. The problem is the more sophisticated the model, the higher its complexity. For example, when I want to "[...] test the model against one that allows for di...
by cybey
22 Sep 2021, 07:40
Forum: Models and estimation
Topic: Scaling in joint model estimation with non-discrete dual response
Replies: 13
Views: 38579

Re: Scaling in joint model estimation with non-discrete dual response

Dear Stephane, Unfortunately, I have another question about the scale parameter in dual response: Does it make sense to use a randomized scale parameter (e.g. lognormal distribution or lognormal distribution with Fosgerau Mabit transformation) instead of a fixed parameter? The reason is that I wish ...
by cybey
07 Jul 2021, 15:27
Forum: Models and estimation
Topic: Scaling in joint model estimation with non-discrete dual response
Replies: 13
Views: 38579

Re: Scaling in joint model estimation with non-discrete dual response

Yes, exactely. In the forced-choices (3 alternatives per choice set) I check for left-right effects (b_asc_1, b_asc_2, b_asc_3), whereas in the free choices, I would like to explain the responses to the Likert scale questions. About the scale parameter: Does it matter if I multiply only the coeffici...
by cybey
07 Jul 2021, 12:57
Forum: Models and estimation
Topic: Scaling in joint model estimation with non-discrete dual response
Replies: 13
Views: 38579

Re: Scaling in joint model estimation with non-discrete dual response

Thank you for the fast response. In the following, as requested the code of the two MNL models. Ordinal: # ################################################################# # #### LOAD LIBRARY AND DEFINE CORE SETTINGS #### # ################################################################# # ### Cle...