% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bayesRecon_BUIS.R
\name{forecast.lst_bayesRecon_BUIS}
\alias{forecast.lst_bayesRecon_BUIS}
\title{forecast.lst_bayesRecon_BUIS}
\usage{
\method{forecast}{lst_bayesRecon_BUIS}(
  object,
  key_data,
  point_forecast = list(.mean = mean),
  new_data = NULL,
  ...
)
}
\arguments{
\item{object}{An object of class \code{lst_bayesRecon_BUIS} containing fitted models.}

\item{key_data}{A keyed data frame from \code{fabletools}.}

\item{point_forecast}{A list of point forecast functions (default: \code{list(.mean = mean)}).}

\item{new_data}{Optional new data for forecasting (not currently used).}

\item{...}{Additional arguments passed to other methods.}
}
\value{
A fable object with BUIS-reconciled distributions and point forecasts.
}
\description{
Produces probabilistic forecasts reconciled via Bottom-Up Importance Sampling (BUIS).
This method samples from bottom-level distributions, computes upper-level paths via
aggregation, and reweights samples according to upper-level forecast densities.
}
\keyword{internal}
