aic_bic_model: Generates comprehensive output for AIC and BIC
In tinnaing347/bRema: Building Energy Modelling and Analysis Tool in R
Description
Usage
Arguments
Examples
Description
This function generates comprehensive output for the aic and bic statistical tests.
It includes information such as the best model (that have the smallest aic and bic values) and the aic and bic values for each parameter model type.
Usage
1
aic_bic_model(final_best, sample_number)
Arguments
final_best
A list containing information about parameters such as slopes, change-points, and stats such as RMSE.
sample_number
Length of the data frame/number of temperature datapoints.
Examples
1
2
3
4
5
util = subset(unretrofit_utility, unretrofit_utility$bdbid == 'f3acce86'
& unretrofit_utility$energy_type == 'Elec')
sample_number = nrow(util)
result = run_model(util)
aic_bic_values = aic_bic_model(result, sample_number)
tinnaing347/bRema documentation built on Aug. 23, 2019, 9:15 p.m.
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Description Usage Arguments Examples
Description
This function generates comprehensive output for the aic and bic statistical tests. It includes information such as the best model (that have the smallest aic and bic values) and the aic and bic values for each parameter model type.
Usage
1 | aic_bic_model(final_best, sample_number)
|
Arguments
final_best |
A list containing information about parameters such as slopes, change-points, and stats such as RMSE. |
sample_number |
Length of the data frame/number of temperature datapoints. |
Examples
1 2 3 4 5 | util = subset(unretrofit_utility, unretrofit_utility$bdbid == 'f3acce86'
& unretrofit_utility$energy_type == 'Elec')
sample_number = nrow(util)
result = run_model(util)
aic_bic_values = aic_bic_model(result, sample_number)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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