rmse {BGVAR} | R Documentation |
Compute Root Mean Squared Errors
Description
Computes and prints root mean squared errors (RMSEs) of an object of class bgvar.predict
.
Usage
## S3 method for class 'bgvar.pred'
rmse(object, ...)
Arguments
object |
An object of class |
... |
Additional arguments. |
Value
Returns an object of class bgvar.rmse
, which is a matrix of dimension h times K, whereas h is the forecasting horizon and K is the number of variables in the system.
Author(s)
Maximilian Boeck, Martin Feldkircher
Examples
library(BGVAR)
data(testdata)
model.ssvs.eer<-bgvar(Data=testdata,W=W.test,draws=100,burnin=100,
plag=1,prior="SSVS",eigen=TRUE,hold.out=8)
fcast <- predict(model.ssvs.eer,n.ahead=8,save.store=TRUE)
rmse <- rmse(fcast)
[Package BGVAR version 2.5.7 Index]