It would be interesting if we could specify a nested hierarchical structure to random effects at all Mixed Modes platform, the same way lme4 allows.
Purpose
Increase the flexibility of different model structures.
Use-case
I have a case where two random components exists: batches and parts from batches. I would like to specify a model where the parts are nested within batches.
Is your feature request related to a problem?
No
Is your feature request related to a JASP module?
Mixed Models
Describe the solution you would like
Allow specify the models like this: y ~ x + (1 | z) + (1 | w : z)
Describe alternatives that you have considered
I tried to manually change the formula at R console, but when I hit ctrl + enter, it gives me an error.
Description
It would be interesting if we could specify a nested hierarchical structure to random effects at all Mixed Modes platform, the same way lme4 allows.
Purpose
Increase the flexibility of different model structures.
Use-case
I have a case where two random components exists: batches and parts from batches. I would like to specify a model where the parts are nested within batches.
Is your feature request related to a problem?
No
Is your feature request related to a JASP module?
Mixed Models
Describe the solution you would like
Allow specify the models like this: y ~ x + (1 | z) + (1 | w : z)
Describe alternatives that you have considered
I tried to manually change the formula at R console, but when I hit ctrl + enter, it gives me an error.
Additional context
https://stats.stackexchange.com/questions/228800/crossed-vs-nested-random-effects-how-do-they-differ-and-how-are-they-specified