Hi
apologies for the slow reply.
Can you be more specific? Did you wait until the process has finished?
Stephane
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- 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
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- Make sure that R is using the latest official release of Apollo.
- Users can check which version they are running by entering packageVersion("apollo").
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- 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:
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Search found 1017 matches
- 05 May 2024, 11:38
- Forum: Model estimation
- Topic: Covairance cannot be estimated in HCM
- Replies: 1
- Views: 6
- 05 May 2024, 11:37
- Forum: Examples (existing and requests for new ones)
- Topic: Extending the MNL example on mode choice to MMNL
- Replies: 1
- Views: 5
Re: Extending the MNL example on mode choice to MMNL
Hi apologies for the slow reply. Using your numbering: 1) Mixed logit for random taste heterogeneity is fine. For correlation, you would be better with a nested logit or CNL kernel inside your mixture. 2) yes 3) You should not use Halton draws in that case. Try MLHS or Sobol. In relation to the sing...
- 05 May 2024, 11:33
- Forum: Estimation results
- Topic: correlation between latent variables in hybrid model
- Replies: 3
- Views: 3608
Re: correlation between latent variables in hybrid model
Hi yes, you're finding correlation. If your model estimates fine and gives you a covariance matrix, then you likely do not face an identification issue. in relation to correlation between the alternatives, I would recommend that you consider a GEV kernel such as Nested Logit instead of MNL inside yo...
- 05 May 2024, 11:31
- Forum: Model estimation
- Topic: Need Advice on Using CFA Model Results from other software with ICLV in Apollo
- Replies: 1
- Views: 7
Re: Need Advice on Using CFA Model Results from other software with ICLV in Apollo
Hi
apologies for the slow reply.
You wouldn't use factor loadings inside an ICLV model. Or what did you have in mind?
What you might want to do is to use factor analysis to determine the groupings of indicators for your latent variables
Stephane
apologies for the slow reply.
You wouldn't use factor loadings inside an ICLV model. Or what did you have in mind?
What you might want to do is to use factor analysis to determine the groupings of indicators for your latent variables
Stephane
- 05 May 2024, 11:28
- Forum: Errors during model validation and/or estimation.
- Topic: MNL - estimation failed (singular covergence)
- Replies: 1
- Views: 12
Re: MNL - estimation failed (singular covergence)
Hi
apologies for the slow reply. There is nothing immediately apparent that would be causing an overspecification. Can you tell us more about the data? Maybe there are strange correlations in the data that lead to an empirical identification issue?
Stephane
apologies for the slow reply. There is nothing immediately apparent that would be causing an overspecification. Can you tell us more about the data? Maybe there are strange correlations in the data that lead to an empirical identification issue?
Stephane
- 05 May 2024, 11:24
- Forum: Model estimation
- Topic: Posterior probability more than 100%?
- Replies: 3
- Views: 1596
Re: Posterior probability more than 100%?
Hi
can you share your code and data with me outside the forum and I'll investigate
Stephane
can you share your code and data with me outside the forum and I'll investigate
Stephane
- 05 May 2024, 11:22
- Forum: Models and estimation
- Topic: Use indirectly related RP data in SP model
- Replies: 1
- Views: 1
Re: Use indirectly related RP data in SP model
Hi first, in relation to your SP model, you could try to refine the specification and see if that helps. Feel free to show us your current results on the forum as we may then have more suggestions. second, in relation to joint "RP"-SP, your datasets look quite different, but you could of c...
- 05 May 2024, 11:10
- Forum: Post-estimation analysis/use of results
- Topic: Simulating WTP for normal dist. param when price is negative log normal/
- Replies: 1
- Views: 9
Re: Simulating WTP for normal dist. param when price is negative log normal/
Annat
can you show us the model estimates too? It might be that you need to take the absolute values of the sigma parameters as the estimates might have been negative
Also, you're missing the minus sign in front of the exponential
Stephane
can you show us the model estimates too? It might be that you need to take the absolute values of the sigma parameters as the estimates might have been negative
Also, you're missing the minus sign in front of the exponential
Stephane
- 05 May 2024, 11:08
- Forum: Examples (existing and requests for new ones)
- Topic: Attribute_Non_Attendance LC model
- Replies: 1
- Views: 4
Re: Attribute_Non_Attendance LC model
Hi
sorry, this paper was written long before Apollo so I don't have Apollo code.
Maybe you could have a go yourself and then show us your code and the errors you get, so we can help
Stephanea
sorry, this paper was written long before Apollo so I don't have Apollo code.
Maybe you could have a go yourself and then show us your code and the errors you get, so we can help
Stephanea
- 05 May 2024, 11:07
- Forum: Errors during model validation and/or estimation.
- Topic: Error while estimating a Hybrid latent class choice model
- Replies: 1
- Views: 13
Re: Error while estimating a Hybrid latent class choice model
hi
difficult to know without access to the code - can you share it?
but first, your model is clearly overspecified. You cannot estimate the parameters in both classes in the class allocation model. You fix delta_a, but you keep all the other parameters free
Stephane
difficult to know without access to the code - can you share it?
but first, your model is clearly overspecified. You cannot estimate the parameters in both classes in the class allocation model. You fix delta_a, but you keep all the other parameters free
Stephane