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Update forecast.R
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R/forecast.R

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#' forecasting for models with exogenous variables.
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#'
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#' \strong{One-period-ahead predictive density.}
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#' The model assumptions provided in the documentation for \code{\link{bvarPANELs}}
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#' The model assumptions provided in the documentation for \code{\link{bpvars}}
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#' determine the country-specific one-period ahead conditional predictive density
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#' for the unknown vector \eqn{\mathbf{y}_{c.t+1}} given the data available at
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#' time \eqn{t} and the parameters of the model. It is multivariate normal with
@@ -212,7 +212,7 @@ forecast.PosteriorBVARPANEL = function(
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}
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# perform forecasting
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fff = .Call(`_bvarPANELs_forecast_bvarPANEL`,
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fff = .Call(`_bpvars_forecast_bvarPANEL`,
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posterior_A_c_cpp,
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posterior_Sigma_c_cpp,
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X_c,

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