eemdarima: Function to predict with EEMD-ARIMA model
In decomposedPSF: Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)
eemdarima R Documentation
Function to predict with EEMD-ARIMA model
Description
Function to predict with EEMD-ARIMA model
Usage
eemdarima(data, n.ahead)
Arguments
data
as input time series data
n.ahead
as horizon of values to be predicted
Value
predicted values with EEMD-ARIMA model
Examples
# eemdarima(data = nottem, n.ahead = 6)
decomposedPSF documentation built on May 1, 2022, 5:08 p.m.
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| eemdarima | R Documentation |
Function to predict with EEMD-ARIMA model
Description
Function to predict with EEMD-ARIMA model
Usage
eemdarima(data, n.ahead)
Arguments
data |
as input time series data |
n.ahead |
as horizon of values to be predicted |
Value
predicted values with EEMD-ARIMA model
Examples
# eemdarima(data = nottem, n.ahead = 6)
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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