Closed mle2718 closed 4 months ago
I chose to do 1 -- read in the coefficients from the non-spatial model
addressed with a4a4f0232b8603292a6cd15cbc482b1827512b1c 00008b49da87b62a65f35df256f2b85a7e3796b9 958f6ded1dd94edd5c3e97524b618b0b7ff7807d 21b040ba24b65d33c314c8de5bb8ff239516c1cd
The quota price function passes in these variables https://github.com/lkerr/groundfish-MSE/blob/fa057973568ad4074b3f6d186f00003737785498/functions/economic/get_predict_quota_prices.R#L53-L57
I am reading in a quota price equation that contains "spatial" things. https://github.com/lkerr/groundfish-MSE/blob/fa057973568ad4074b3f6d186f00003737785498/preprocessing/economic/quota_price_coefs.R#L7-L8
But I am implicitly predicting at the spatial values=0 by not including them in the quota price function. Either
It would be better to move the definitions of level_RHSnames and select_RHSnames out of this function and into set_om_parameters_global.R, next to where the choice equation variables are setup