auto.arima_fore: The forecasting model ARIMA basd on 'forecast::auto.arima'
In lily940703/febama: Feature-based Bayesian Forecasting Model Averaging
auto.arima_fore R Documentation
The forecasting model ARIMA basd on forecast::auto.arima
Description
The forecasting model ARIMA basd on forecast::auto.arima
Usage
auto.arima_fore(x, train_h, PI_level)
Arguments
x
The input time series.
train_h
The amount of future time steps to forecast.
PI_level
Predictive Interval level, used to extract out-of-sample variance from forecasting models.
Value
A list including forecasting mean and sd.
lily940703/febama documentation built on March 20, 2022, 1:57 a.m.
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| auto.arima_fore | R Documentation |
The forecasting model ARIMA basd on forecast::auto.arima
Description
The forecasting model ARIMA basd on forecast::auto.arima
Usage
auto.arima_fore(x, train_h, PI_level)
Arguments
x |
The input time series. |
train_h |
The amount of future time steps to forecast. |
PI_level |
Predictive Interval level, used to extract out-of-sample variance from forecasting models. |
Value
A list including forecasting mean and sd.
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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