Problem fitting FEM models #19
Replies: 2 comments 6 replies
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Hi Alice, You are correct, it is ignoring the model_options when using fem. Basically, internally it calls Thank you for calling attention for this. Best, |
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Hi Alice, Everything has been fixed now! You can now use it, and everything should work. But you will need to install the latest development version of and the latest development version of Then, your code should directly work without the need for your Please, let me know if everything is ok now. Best, |
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Hi,
I am working on a project where we are trying to model shops values on a network of streets.
We have isolated the location element of value and are trying to use (very noisy) data to suggest a smooth pattern of changing value with location. We have tried fitting Whittle-Matern models with alpha = 1,2, and the result was not as generalised/smooth as we would have liked. We are therefore trying to explore using higher alpha with the FEM approach in the package.
For reproducibility reasons I want to be able to fix values of range, sigma and sigma_e and fit models under these constraints. I have successfully implemented fixing range, sigma, and sigma_e successfully for alpha = 1 through the model_options parameter in graph_lme. However, when I try to use the same model_options code to fix parameters for higher alpha with the FEM approach, it appears that the model fitting process ignores them.
I’ve included an example simulation below to demonstrate what I mean and have tried to highlight some of the things I have come across that aren’t making sense to me that I need help with.
I’d also be interested in understanding the timelines for whether higher alpha will be implemented in INLA, as we’d be keen to take advantage of things like the formalised priors and inbuilt uncertainty measures.
Cheers in advance for the help!
Kind regards,
Alice
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