Combining models into total model

[gilaiwy]

Hello!

I have been trying to combine submodels to run as one model into the total model like this:

total_model<-run_model(
soc=soc,
H6=H6,
parameters = model_parameters,
method = "beginning",
cycles=21,
cost=cost,
effect=utility
)
total_model

starting from:
total_model<-run_model(
soc_tp=soc_tp,
soc_fp=soc_fp,
H6-tp=H6_tp,
H6_fp=H6_fp,
parameters = model_parameters,
method = "beginning",
cycles=21,
cost=cost,
effect=utility
)
total_model

the thing is, 'soc' model is the sum of 2 submodels based on having a false positive vs true positive test results which leads to different transition matrices: 'soc_fp' and 'soc_tp' models
same goes for the H6 model.

If I entered every submodel separately into the total model they will run as separate strategies instead of 2 subcomponents of the same strategy. Is there a way to combine the 'soc_fp' and 'soc_tp' into an soc model?

[KZARCA]

Hi, did you find a solution to your problem or do you still need help?

[gilaiwy]

Hi! Unfortunately I have not found a solution to this problem. Help would be greatly appreciated.

[KZARCA]

I think one way to solve this problem is to use variables in the transition matrix, previously defined with define_parameters.

[gilaiwy]

Will give it a try, thank you very much for the suggestion