ApolloChoiceModelling forum

Sven

we've had problems with R4.0 though it works on our machines now with parallel too. Can I suggest that you try to reinstall Apollo as well as updating libraries that Apollo uses (Rcpp, maxLik, mnormt, mvtnorm, graphics, coda, sandwich, randtoolbox, numDeriv, RSGHB, parallel, Deriv)

Stephane

Hi Sven

to try and diagnose whether this is an issue with your model or with your installation of R/your machine, can you please try running this example from the website, which uses multi-core too: http://apollochoicemodelling.com/files/ ... ample_14.r

Thanks

Stephane

Hi yes, this is very straightforward to do. Let's use a simple example where you have that beta_cost follows a negative lognormal distribution, where we then estimate the parameters (mean and sd) of the Normal distribution of log(-beta_cost). Let's call these mu and sig and assume that mu is differe...

Hi Juergen

sure. We will add this as an output in time for the official release of v0.1.1

And yes, the order is the same as in the database

Stephane

Sure,

but for the binary one, it would be easier for you to use apollo_mnl than apollo_ol

Best wishes

Stephane

Hi Silvia

if an attribute is stochastic, whether as a function of reaction time or some other phenomenon, then you can code it in apollo_randCoeff - it makes no difference whether the components included in that list are random coefficients or random variables

Best wishes

Stephane

Hi Silvia

this is a very specific application of a model. You could definitely code the model in Apollo but this would involve some manual coding of the model components and then using Apollo for the estimation

Best wishes

Stephane

Hi it's of course difficult to diagnose the problem without access to the data, but this looks at first hand like an identification issue. The zeta parameter becomes very large for one indicator while the taus become very wide too. I noticed that you used a different specification for the structural...

Hi Shan

yes, you should be able to make those parameters non-random where the standard deviations are not significant. Keep an eye on your model fit too to see if you're not losing fit by doing so

Best wishes

Stephane

Hi Brenna apollo_prediction makes use of the full distribution of the random coefficients. So it will take the estimated parameters and create draws for the coefficients at the person level, using the number of draws you specified in the settings for draws. It will then calculate the probabilities w...