WeightedEnsemble (version 0.1.0)

WeightedEnsemble: Weighted Ensemble for Hybrid Model

Description

Weighted Ensemble for Hybrid Model

Usage

WeightedEnsemble(df, Method = "PSO", test_data = NULL, forecast = NULL)

Value

• Weights: Optimized weight

• Optimized_Result: Optimized result

Arguments

df

Data set (training result) with first column as observed value

Method

Method of optimization

test_data

Test result

forecast

Forecast result

References

J. S. Armstrong. Combining forecasts: The end of the beginning or the beginning of the end? International Journal of Forecasting, 5(4):585–588, 1989.

Examples

# \donttest{
y1<-rnorm(100,mean=100,sd=50)
y2<- rnorm(100,mean=100,sd=50)
y3<- rnorm(100,mean=100,sd=50)
y4<-rnorm(100,mean=100,sd=50)
y<-rnorm(100,mean=100,sd=50)
data<-cbind(y,y1,y2,y3,y4)
OptiSemble<-WeightedEnsemble(df=data)
# }