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BGVAR (version 2.5.8)

rmse: 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 bgvar.pred
rmse(object, ...)

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.

Arguments

object

An object of class bgvar.predict.

...

Additional arguments.

Author

Maximilian Boeck, Martin Feldkircher

Examples

Run this code
# \donttest{
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)
# }

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