\HeaderA{mle-class}{Class "mle" for Results of Maximum Likelihood Estimation}{mle.Rdash.class}
\keyword{classes}{mle-class}
\begin{Description}\relax
This class encapsulates results of a generic maximum
likelihood procedure.
\end{Description}
\begin{Section}{Objects from the Class}
Objects can be created by calls of the form \code{new("mle", ...)}, but
most often as the result of a call to \code{\LinkA{mle}{mle}}.
\end{Section}
\begin{Section}{Slots}
\describe{
\item[\code{call}:] Object of class \code{"language"}.
The call to \code{\LinkA{mle}{mle}}.
\item[\code{coef}:] Object of class \code{"numeric"}.  Estimated
parameters.
\item[\code{fullcoef}:] Object of class \code{"numeric"}.
Fixed and estimated parameters.
\item[\code{vcov}:] Object of class \code{"matrix"}.  Approximate
variance-covariance matrix.
\item[\code{min}:] Object of class \code{"numeric"}.  Minimum value
of objective function.
\item[\code{details}:] Object of class \code{"list"}.  List returned
from \code{\LinkA{optim}{optim}}.
\item[\code{minuslogl}:] Object of class \code{"function"}.  The
negative loglikelihood function.
\item[\code{method}:] Object of class \code{"character"}.  The
optimization method used.
}
\end{Section}
\begin{Section}{Methods}
\describe{
\item[confint] \code{signature(object = "mle")}: Confidence
intervals from likelihood profiles.
\item[logLik] \code{signature(object = "mle")}: Extract maximized
log-likelihood.
\item[profile] \code{signature(fitted = "mle")}: Likelihood profile
generation.
\item[show] \code{signature(object = "mle")}: Display object briefly.
\item[summary] \code{signature(object = "mle")}: Generate object summary.
\item[update] \code{signature(object = "mle")}:  Update fit.
\item[vcov] \code{signature(object = "mle")}: Extract
variance-covariance matrix.
}
\end{Section}

