\HeaderA{shrinkldaCMA-methods}{Shrinkage linear discriminant analysis}{shrinkldaCMA.Rdash.methods}
\aliasA{shrinkldaCMA,data.frame,missing,formula-method}{shrinkldaCMA-methods}{shrinkldaCMA,data.frame,missing,formula.Rdash.method}
\aliasA{shrinkldaCMA,ExpressionSet,character,missing-method}{shrinkldaCMA-methods}{shrinkldaCMA,ExpressionSet,character,missing.Rdash.method}
\aliasA{shrinkldaCMA,matrix,factor,missing-method}{shrinkldaCMA-methods}{shrinkldaCMA,matrix,factor,missing.Rdash.method}
\aliasA{shrinkldaCMA,matrix,numeric,missing-method}{shrinkldaCMA-methods}{shrinkldaCMA,matrix,numeric,missing.Rdash.method}
\keyword{multivariate}{shrinkldaCMA-methods}
\begin{Description}\relax
Linear Discriminant Analysis combined with the
James-Stein-Shrinkage approach of Schaefer and Strimmer (2005)
for the covariance matrix.

Currently still an experimental version.
For \code{S4} method information, see \LinkA{shrinkldaCMA-methods}{shrinkldaCMA.Rdash.methods}
\end{Description}
\begin{Section}{Methods}
\describe{

\item[X = "matrix", y = "numeric", f = "missing"] signature 1

\item[X = "matrix", y = "factor", f = "missing"] signature 2

\item[X = "data.frame", y = "missing", f = "formula"] signature 3

\item[X = "ExpressionSet", y = "character", f = "missing"] signature 4
}
For further argument and output information, consult
\code{\LinkA{shrinkldaCMA}{shrinkldaCMA}}.
\end{Section}

