model_fcast: Forecast from the Best Model
In nelson16silva/wavcoreinf: Estimation and Evaluation of Wavelet Core Inflation Measures
model_fcast R Documentation
Forecast from the Best Model
Description
model_fcast is a function for forecasting h step ahead from a model selected by
the function model_best.
Usage
model_fcast(best_model)
Arguments
best_model
A model generated by the function model_best.
Value
A prediction value for the horizon h considered in the
function model_best.
See Also
model_best
Examples
inf_head <- coreinf_br[["ipca"]]
inf_corems <- coreinf_br[["ipcams"]]
pq <- lags(2, 1)
model1 <- model_est(inf_head, inf_corems, 2, pq)
best <- model_best(model1)
model_fcast(best)
nelson16silva/wavcoreinf documentation built on Feb. 17, 2025, 7:10 p.m.
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| model_fcast | R Documentation |
Forecast from the Best Model
Description
model_fcast is a function for forecasting h step ahead from a model selected by
the function model_best.
Usage
model_fcast(best_model)
Arguments
best_model |
A model generated by the function |
Value
A prediction value for the horizon h considered in the
function model_best.
See Also
model_best
Examples
inf_head <- coreinf_br[["ipca"]]
inf_corems <- coreinf_br[["ipcams"]]
pq <- lags(2, 1)
model1 <- model_est(inf_head, inf_corems, 2, pq)
best <- model_best(model1)
model_fcast(best)
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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