Comments (3)
Hi,
this response might come to late, but I would recommend reducing n_sim to e.g., n_sim = 5 and steps to c(30, 40) to get an idea of how long the simulations take first. If the model/data is very large, mixedpower does indeed take quite some time. If the smaller (n_sim = 5) simulations run without any issues, the runtime might just be a product of your complex model. However, it should usually not take "a few days".
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Thanks for the reply. I did try something like (but not that low of sims) that using all of my model terms and covariates. It just occurred to me now I might want to try the simulation with just the interaction of interest alongside the random effects to see if reducing terms helps reduce time (to figure out a baseline to run).
I will ping back what I find out. Any other advice that comes to mind is greatly appreciated!
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You could also check out this Julia package, which should offer faster simulations!
from mixedpower.
Related Issues (10)
- Could not figure out the error message HOT 9
- SESOI Error HOT 4
- Having trouble storing simulations? HOT 1
- Add option to specify the number of cores used HOT 1
- multiplotPower error HOT 1
- Random factors as numeric HOT 4
- Specifying an intercept as a fixed effect. HOT 1
- Failing to install HOT 1
- "simvar" needs to be numeric. Consider creating a numeric dummy variable.
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