best_worst_model: Filters model with lowest CV-RMSE
In tinnaing347/bRema: Building Energy Modelling and Analysis Tool in R

Description Usage Arguments Details See Also Examples

This function filters for model with lowest CV-RMSE value given a nested list of model result.

1 2	best_worst_model(inter_result, bdbid = NA, energy, fiscal_year = NA, n = NA, prepost = 1)

`inter_result`	A list containing information about parameters such as slopes, change-points, and stats such as RMSE.
`bdbid`	Building id, which identifies the building or the dataset. Defaults to `NA`.
`energy`	A character string. Energy Type, either 'Elec' or 'Fuel'.
`fiscal_year`	Fiscal year. Defaults to `NA`.
`n`	number of observed points (independent variable) in utility data frame of a building. Defaults to `NA`.
`prepost`	A numeric value. Defaults to be 1. This indicates if it is unretrofit or retrofit (pre or post). See `unretrofit_utility` for more information about prepost.

If some models pass all of shape test, t-test, and population test but do not meet threshold CV-RMSE, the model will the lowest CV-RMSE will be selected as the best model. If none of the model passes all of shape test, t-test, and population test, it will return NULL.

main_best_model_func, run_model, and run_model_retrofit

## Not run: 
retrofit_util = subset(retrofit_utility, retrofit_utility$bdbid == 846152
           & retrofit_utility$energy_type == 'Elec') #retrofit data
retrofit_result = run_model_retrofit(retrofit_util)
retrofit_best_result = best_worst_model(retrofit_result$post, bdbid = 846152, 'Elec', prepost = 3)
## End(Not run)