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ct.Rd

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    rmse.Rd 904 B
    % Generated by roxygen2: do not edit by hand
    % Please edit documentation in R/rmse.R
    \name{rmse}
    \alias{rmse}
    \title{Computes the RMSE score.}
    \usage{
    rmse(x)
    }
    \arguments{
    \item{x}{a numerical vector of residuals.}
    }
    \value{
    The RMSE score.
    }
    \description{
    Returns the RMSE.
    }
    \details{
    Used for forecast evaluation evaluation and optimization of parameters in model fitting.
    
    Note that \code{NA}s are ignored (i.e. \code{mean} is called with \code{na.rm=TRUE}).
    }
    \examples{
    
    
     # Just a vector to be forecasted
     y <- c(filter(rnorm(100), 0.95, "recursive"))
     # Generate a forecast matrix with a simple persistence model
     Yhat <- persistence(y, kseq=1:4)
     # The residuals for each horizon
     Resid <- residuals(Yhat, y)
    
    # Calculate the score for the k1 horizon
    rmse(Resid$h1)
    
    # For all horizons
    apply(Resid, 2, rmse)
    
    
    }
    \seealso{
    \code{\link{score}()} for calculation of a score for the k'th horizon
    }