ApolloChoiceModelling forum

Hi

you can make predictions from a model in Apollo. This will produce a prediction for each row in the data, and then you can of course use standard R functions to product plots

Stephane

Julia

this should only be needed in situations where you have uncertainty about the attributes

Stephane

Hi

if you share your code and data with me outside the forum, I'll have a look

Stephane

hi

the closest we have to this would be http://apollochoicemodelling.com/files/ ... e_coding.r where you could easily add availabilities too

Stephane

Hi

can you share your code and data with me outside the forum and I'll look into it

Stephane

Marie

have a look at the help file for apollo_prediction. If you run it with the runs setting, it will produce an array for you with the runs at different draws from the asymptotic parameter distribution and you can then use those to calculate standard errors for your marginal effects

Stephane

Hi

your parameter dWorkScho is tending towards -inf (-104.659589), so that is causing the issue here. You'll have to investigate what is causing this

Stephane

Hi you could have easily resolved this issue by looking at other posts and the manual. You have: V[["ALT1"]] = b_Waitingtimem * Waitingtimem1 + b_Waitingtimeh * Waitingtimeh1 + b_effm * effm1 + b_effh * effh1 + b_peer_support_Yes * peer_support_Yes1 + b_working_hours_extra * working_hours_...

Hi

it is not clear what you mean by linear and non-linear here, unless you have made non-linear transforms in the data.

Can you show the results?

In terms of rm(list = ls()), this clears the memory, which you should do before every model estimation

Stephane

Hi

can you please show us your code - otherwise, it's near impossible to help

Stephane