Open eclee25 opened 1 year ago
Model run:
HASH: 6772ea9da4f43ddc3da11c494a573af2ca3dd3c8
because there are few data, so each t, sx, and sy in gam input only has one y value. variance is unable to be estimated.
Really very little data here. Only a couple of cases in the national level imputation for 2017. Not surprising to have convergence issues in w and sd_w.
Suggestion: Separate category for these very low count runs.
Opinion: Temp Approve and rerun with spatial_effect: no
Updated config
Data pull:
HASH: f56d5a942b106ad7750b9be31c0456cefa5b6dc7
model run
HASH f56d5a942b106ad7750b9be31c0456cefa5b6dc7
All looks good
Data pull and model run (dev_taxdat_funs_fix branch):
HASH: 31f14227cd28a9824db72b7a6c45b0d65652872e
Results look good.
Suggestion: accept.
No subnat data no-W model. All diags look good. Approve
Sep 2023 Production run: convergence issues,
Suggestion: investigate further.
After removing the unused parameters from sampling, all diags look good. Approve
Data pull: HASH:
6772ea9da4f43ddc3da11c494a573af2ca3dd3c8
config