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R/methods.R

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@@ -457,7 +457,7 @@ fitted.dfm <- function(object,
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#' @param method character. The factor estimates to use: one of \code{"qml"}, \code{"2s"} or \code{"pca"}.
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#' @param standardized logical. \code{FALSE} will return data forecasts on the original scale.
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#' @param resFUN an (optional) function to compute a univariate forecast of the residuals.
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#' The function needs to have a second argument providing the forecast horizon (\code{h}) and return a vector or forecasts. See Examples.
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#' The function needs to have a second argument providing the forecast horizon (\code{h}) and return a vector of forecasts. See Examples.
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#' @param resAC numeric. Threshold for residual autocorrelation to apply \code{resFUN}: only residual series where AC1 > resAC will be forecasted.
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#' @param \dots further arguments to \code{resFUN}.
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#'

man/predict.dfm.Rd

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