% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bayesRecon_MixCond.R
\name{forecast.lst_bayesRecon_MixCond}
\alias{forecast.lst_bayesRecon_MixCond}
\title{forecast.lst_bayesRecon_MixCond}
\usage{
\method{forecast}{lst_bayesRecon_MixCond}(
  object,
  key_data,
  point_forecast = list(.mean = mean),
  new_data = NULL,
  ...
)
}
\arguments{
\item{object}{An object of class \code{lst_bayesRecon_MixCond} 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 MixCond-reconciled distributions and point forecasts.
}
\description{
Produces probabilistic forecasts reconciled via mixed hierarchy conditioning.
This method handles mixed hierarchies (with cross-constraints) by applying
conditioning-based reconciliation to draw samples from the reconciled distributions.
}
\keyword{internal}
