Tzu-Yao
Tzu-Yao
Hi Karoline and Bob, Thanks for your questions and answers. I'd like to follow up on using ER-K600 correlation as a metric to assess the quality of model performance. Bob...
Hi Bob, Thanks for your insights! You raised an example of analyzing controls on ER when ER covary with K. I was just wondering if I want to know what...
Thanks Bob. Your explanation really cleared things up!
Hi Bob, 1. Does the model provide information of coefficient of determination, R2det? If it does, how can I access it? - I just found that there is DO_R2 output...
> I think `DO_R2` may indeed be what you're looking for - check out the formula at https://github.com/USGS-R/streamMetabolizer/blob/master/inst/models/b_np_oipi_tr_psrckm.stan#L142 and note that you probably need to add it to your `params_out`...
Thanks Alison, I updated the streaMetabolizer with `remotes::install_github('appling/unitted')` `remotes::install_github("USGS-R/streamMetabolizer")` and can now access `DO_R2` info. However, I realized that `DO_R2` provided in the model is the R2 of DO observed...
Thank you Alison and Bob. Your answers/comments are really helpful!
> `err_proc_iid_sigma_scale` is the only/primary lever for affecting the magnitude of the fitted process errors. I'd like @robohall 's thoughts on this too, but I think we see the models...
Yeah, that was what I was looking at. Thank you for the clarification!
> Ah, thanks for the reminder - amazing how much I can forget after writing a whole paper on something! The `predict_DO()` function should return a data.frame with a column...