✨Independent inference for each micro- or macro-region

[jonjoncardoso]

We have always performed these experiments as a joint estimation of hierarchical parameters considering all geographic micro- or macro-regions within the state of Santa Catarina simultaneously.

This in line with the original base model ^{(Flaxman et al 2020)(Flaxman et al 2020 - technical description)} as well as with the base-reported version of it^{(Avelar et al 2021)}.

BUT based on preliminary results with the new run_single_region.R script #27 #28, we now know that independent fitting yields similar results.

What we need then is:

• [x] Add script run_health_regions_independently.R to sequentially fit all micro-regions (aka. RSA) within Santa Catarina
• [x] Add script run_macro_regions_independently.R to sequentially fit all macro-regions (aka. MAC) within Santa Catarina and keep consistent with the spatial scale we adopted in the paper
• [x] After each location has been fitted individually, combined the different files produced by the algorithm to compose the plots for the entire state

[jonjoncardoso]

Functions to look out for:

• get_merged_forecast_dfs_on_model_data
• get_merged_forecast_dfs
• get_dfs - that uses the mentions above

[jonjoncardoso]

Solved by #39