ApolloChoiceModelling forum

Thanks a million Stephane!

Thank you Stephane This attribute was indeed dummy coded. I also understand why, with three levels, it is not possible to estimate quadratic preferences. My question is: is there any way to isolate and elicit preferences for 'not harming sea invertebrates' and 'not harming sea mammals', independentl...

Hi all, I'm estimating an MNL model for a DCE with two alternatives representing different levels of monitoring oil spills from drilling rigs and an opt-out option. One of the attributes in the model is the number of species types saved as a result of monitoring, with the levels being: 1 = Fish, 2 =...

Thank you so much Stephane!
It runs and converges smoothly
(guess I was confusing with Ngene syntax that allows for such breaks)

Hi all, I have a repeating error (I use the most recent Apollo version). I ran a hybrid MMNL with one latent variable, normally distributed which affects two indicators for pro-environmental behavior (peb). The scale has 6 items, I have started with the two items with the highest loading. (I have tr...

Thank you Stephane. That's helped a lot!

Hi, I estimated a MMNL which converged successfully. I am trying to simulate WTP for the ASC (ASC_low) which is normally distributed. My cost parameter is negatively log-normal distributed. this is the code: N <- 10000 b_low = rnorm(N, mean=model$estimate["asc_low_mu"], sd=model$estimate[&...

Hello, Following David example for calculating WTP (normal and log normal params) in the following example N = 1000 b_attr = rnorm(N, mean=model$estimate["mu_attr"], sd=model$estimate["sg_attr"]) b_cost = -exp(rnorm(N, mean=model$estimate["mu_cost"], sd=model$estimate[&...

I think that understand the problem, the correct number of models is indeed 5061 = 723*7, I should have specified the "rows=(task==1)" for the LV estimation. I just don't understand how it converged in the previous version (0.2.9).

Sorry for not responding on time. Attached is the screenshot of a WTA menu.