Hi Stephane,
Below is a table comparing the fit with the 2 class model (without class membership), 3 class model (without class membership) and the 3 class model with class membership, for each treatment group:
The fit (sig) improved each time (tested using the likelihood ratio), indicating that ...
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
- 06 Mar 2025, 14:00
- Forum: Errors during model validation and/or estimation.
- Topic: Errors convergence latent class model
- Replies: 5
- Views: 39979
- 25 Feb 2025, 15:01
- Forum: Errors during model validation and/or estimation.
- Topic: Errors convergence latent class model
- Replies: 5
- Views: 39979
Re: Errors convergence latent class model
Hi Stephan,
Thanks for your help- here is the output below.
To clarify, in treatment two we show respondents additional information to the respondent (number of dry days) compared to treatment one. Hence this has the additional attribute.
Treatment group one [without attribute daymean] LCM with ...
Thanks for your help- here is the output below.
To clarify, in treatment two we show respondents additional information to the respondent (number of dry days) compared to treatment one. Hence this has the additional attribute.
Treatment group one [without attribute daymean] LCM with ...
- 10 Feb 2025, 11:23
- Forum: Errors during model validation and/or estimation.
- Topic: Errors convergence latent class model
- Replies: 5
- Views: 39979
Errors convergence latent class model
Hi Apollo forum,
I have a question about running a latent class model on choice data for two treatment groups (each with ~300 respondents). One treatment group converges successfully, but the other does not. The only difference between the groups is that one treatment group sees an additional ...
I have a question about running a latent class model on choice data for two treatment groups (each with ~300 respondents). One treatment group converges successfully, but the other does not. The only difference between the groups is that one treatment group sees an additional ...
- 23 Oct 2024, 13:44
- Forum: Model specification
- Topic: Binary/Multinomial logit in the measurement model for HCM
- Replies: 5
- Views: 1877970
Re: Binary/Multinomial logit in the measurement model for HCM
Hi all,
I have also been working on including a binary dependent variable in the measurement model for HCM, but getting stuck in the defining the model/likelihood function here. I have several variables about attribute non-attendance which I wanted to include in the analysis, but this is starting ...
I have also been working on including a binary dependent variable in the measurement model for HCM, but getting stuck in the defining the model/likelihood function here. I have several variables about attribute non-attendance which I wanted to include in the analysis, but this is starting ...