fcast_grey {GreyModel} | R Documentation |
Grey Model Forecast
Description
The fcast_grey function computes the h step ahead forecast values.
Usage
fcast_grey(data, h=3)
Arguments
data |
Input univariate time series (ts) data. |
h |
The forecast horizon. |
Details
This function returns the fitted Grey model's h step ahead forecasted values.
Value
Forecasted_value |
h step ahead forecasted values of the fitted Grey Model. |
References
Hsu, L. and Wang, C. (2007). Forecasting the output of integrated circuit industry using a grey model improved by the Bayesian analysis. Technological Forecasting and Social Change, 74, 843–853.
Ou, S. (2012). Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm. Computer and Electronics in Agriculture, 85, 33–39.
Wang, C. and Hsu, L. (2008). Using genetic algorithms grey theory to forecast high technology industrial output. Applied Mathematics and Computation, 195, 256–263.
See Also
GM, GM_test
Examples
xt <- c(640,724,813,1145,1509,2122,1883,2413,2834,4235,7144,5269)
fcast_grey(data=xt)