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. This may take a day or two at busy times. There is no need to submit the post multiple times.
Search found 21 matches
- 09 Aug 2021, 20:33
- Forum: Post-estimation analysis/use of results
- Topic: Delta method in random parameter models
- Replies: 14
- Views: 20044
Re: Delta method in random parameter models
Hi David! I have tried to use several starting values, but neither LC nor RLC model did not converge to the same solution in the WTP space as it was estimated in the preference space (e.g. I got 0.15 - 0.85 class probability values in preference-space, while 0.47-0.53 in WTP-space). I will try to ap...
- 09 Aug 2021, 19:13
- Forum: Post-estimation analysis/use of results
- Topic: Delta method in random parameter models
- Replies: 14
- Views: 20044
Re: Delta method in random parameter models
Hi David! Thank you very much for your quick and helpful answer! I have estimated a two-class LC model with random parameters (only within class). I tried to use WTP-space approach, but class allocation probabilites were very different as in preference-space. So I assume that, my model in WTP-space ...
- 08 Aug 2021, 15:41
- Forum: Post-estimation analysis/use of results
- Topic: Delta method in random parameter models
- Replies: 14
- Views: 20044
Delta method in random parameter models
Hi David and Stephane! How could I calculate standard errors for mean WTP-s in case of random parameter models? I use the following formulation to calculate mean WTP-s: unconditionals=apollo_unconditionals(model,apollo_probabilities,apollo_inputs) attribute=unconditionals[["b_attribute"]] ...
- 29 Jul 2021, 18:11
- Forum: Bug reports
- Topic: Error message "duplicated componentName" in Hybrid Choice Model using Bayesian approach
- Replies: 4
- Views: 17336
Re: Error message "duplicated componentName" in Hybrid Choice Model using Bayesian approach
Hi, I get the same error message. "Error in apollo_normalDensity(Qq2, functionality) : Duplicated componentName found (NormD). Names must be different for each component." My specification is the following: # ################################################################# # #### LOAD LIB...
- 13 Jul 2021, 15:21
- Forum: Model estimation
- Topic: Interaction effect with ASC
- Replies: 2
- Views: 5676
Re: Interaction effect with ASC
Perfect, thanks for the help!
- 13 Jul 2021, 10:43
- Forum: Model estimation
- Topic: Interaction effect with ASC
- Replies: 2
- Views: 5676
Interaction effect with ASC
Hi Stephane! I would like to use some sociodemographic variable in my utility function in order to analyse whether they have impact for choosing the opt-out alternative. I saw you use this approach in apollo_example_3: asc_bus_value = asc_bus + asc_bus_shift_female * female asc_air_value = asc_air +...
- 19 Jun 2021, 07:44
- Forum: Models and estimation
- Topic: Choosing the best model
- Replies: 2
- Views: 7999
Re: Choosing the best model
Thank you Stephane!
It helped a lot! This is a very interesting topic for me.
It helped a lot! This is a very interesting topic for me.
- 11 Jun 2021, 18:30
- Forum: Models and estimation
- Topic: Choosing the best model
- Replies: 2
- Views: 7999
Choosing the best model
Hi David and Stephane! I would like to ask how to choose the best fit model. 1. Which one is the most reliable information criterion? I would like to compare two MNL model. The second one is include several sociodemographic interactions, so have more parameters. I get lower log-likelihood, AIC and h...
- 28 Apr 2021, 17:32
- Forum: Post-estimation analysis/use of results
- Topic: Latent class model WTP and post-estimation
- Replies: 3
- Views: 5530
Latent class model WTP and post-estimation
Hi David and Stephane! I have two question for you. 1. How can I explain that, when I get extremely large WTP value for a certain attribute in case of latent class model (in one class). For example: I have price attribute with 1$, 1.5$, 2$, 2.5$ levels for my analysed product/service and in one clas...
- 28 Mar 2021, 22:05
- Forum: Data preparation, processing and pre-estimation analysis
- Topic: Price variable
- Replies: 2
- Views: 9341
Re: Price variable
Thank you for your help Stephane!