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 11 matches

by hossain
31 May 2021, 09:30
Forum: Post-estimation analysis/use of results
Topic: LL value for models with and without latent variables
Replies: 4
Views: 5695

Re: LL value for models with and without latent variables

Hi Stephane,

Thank you for your prompt response. This information is helpful. I appreciate it.
by hossain
31 May 2021, 09:13
Forum: Post-estimation analysis/use of results
Topic: LL value for models with and without latent variables
Replies: 4
Views: 5695

Re: LL value for models with and without latent variables

Hi Stephane, Thank you for your response. I appreciate it. I have an additional question. If I extend the simple model with an additional factor score variable (extracted from the exploratory factor analysis using the same statements as is done in the example) like the following, V[['Yes']] = asc_ye...
by hossain
31 May 2021, 05:52
Forum: Post-estimation analysis/use of results
Topic: LL value for models with and without latent variables
Replies: 4
Views: 5695

LL value for models with and without latent variables

Hi Stephane and David, Hope this post finds you well. I have a query regarding the Log-Likelihood value of an ICLV model and the same model without any latent variables. The code of both models is given below. My query is after estimating the ICLV model with latent variable from the simple model, I ...
by hossain
25 Apr 2021, 10:08
Forum: Data preparation, processing and pre-estimation analysis
Topic: Multiple Imputation and ICLV Model Estimation
Replies: 8
Views: 16343

Re: Multiple Imputation and ICLV Model Estimation

Hi Dr. Hess, Thank you for your kind and detailed reply. I appreciate it. I just need one more clarification. Given that I have m number of datasets, I will get m number of outputs (such as m number of regression estimates for a predictor). I was curious whether it is possible to pool the estimate. ...
by hossain
23 Apr 2021, 08:52
Forum: Data preparation, processing and pre-estimation analysis
Topic: Multiple Imputation and ICLV Model Estimation
Replies: 8
Views: 16343

Re: Multiple Imputation and ICLV Model Estimation

Dear Dr. Hess, The MICE package gives the data in alist format, however, I can make them into separate data frames. I do not know how I can set up the code on the apollo platform so that it can give me pooled estimates from 20 datasets. For example, some portion of the code. database = read.csv(&quo...
by hossain
22 Apr 2021, 22:50
Forum: Data preparation, processing and pre-estimation analysis
Topic: Multiple Imputation and ICLV Model Estimation
Replies: 8
Views: 16343

Re: Multiple Imputation and ICLV Model Estimation

Dear Dr. Palma, Thank you for your previous reply. I have a further query regarding the Sequential approach you have mentioned. For example, if I have a dataset of 500 samples with a lot of missing values. I have done multiple imputations using the MICE package and as an example, I have produced 20 ...
by hossain
21 Apr 2021, 22:04
Forum: Data preparation, processing and pre-estimation analysis
Topic: Multiple Imputation and ICLV Model Estimation
Replies: 8
Views: 16343

Re: Multiple Imputation and ICLV Model Estimation

Hi Dr. Palma,

Thank you for your kind and informative reply. I really appreciate it.

Regards

Hossain
by hossain
16 Apr 2021, 02:06
Forum: Data preparation, processing and pre-estimation analysis
Topic: Multiple Imputation and ICLV Model Estimation
Replies: 8
Views: 16343

Multiple Imputation and ICLV Model Estimation

Dear All, Hope this email finds you well. We are working on a dataset which some missing values. We want to perform multiple imputations to estimate the missing values and produce several datasets. Is possible to use those multiple imputed datasets to estimated an ICLV model where the model coeffici...
by hossain
16 Apr 2021, 01:59
Forum: Post-estimation analysis/use of results
Topic: Predicted Probability Plots from ICLV Model
Replies: 4
Views: 6081

Re: Predicted Probability Plots from ICLV Model

Hi Dr. Hess,

Thank you! I appreciate it.
by hossain
14 Apr 2021, 20:05
Forum: Post-estimation analysis/use of results
Topic: Predicted Probability Plots from ICLV Model
Replies: 4
Views: 6081

Re: Predicted Probability Plots from ICLV Model

Hi Dr. Hess, Thank you for your kind reply. I appreciate it. Here is a simple example for demonstrating the issue. V = list() V[['no']] = 0 V[['yes']] = asc_yes + b_student*student+b_age* age +b_education*education_college+ b_income_L*income_low ### Define settings for MNL model component mnl_settin...