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\name{summary.lambda}
\alias{summary.lambda}
\alias{print.summary.lambda}
\title{ Summary Method for Objects of Class `lambda'}
\description{
Identical to \code{summary.glm} but with one line of additional output: the estimate of lambda from \code{glm.lambda}, obtained by profiling the deviance and estimating its minimum.}
\usage{
\method{summary}{lambda}(object, ...)
\method{print}{summary.lambda}(x, digits = max(3, getOption("digits") - 3),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"), ...)
}
\arguments{
\item{object}{ Fitted model object of class \dQuote{lambda} inheriting from \code{glm} and \code{lm}. Typically the output of \code{glm.lambda}.}
\item{x}{ an object of class \dQuote{summary.lambda}, usually a result of a call to \code{summary.lambda}. }
\item{digits}{ the number of significant digits to use when printing.}
\item{symbolic.cor}{logical. If \code{TRUE}, print the correlations in a symbolic form (see \code{\link{symnum}}) rather than as numbers.}
\item{signif.stars}{logical. If \code{TRUE}, \dQuote{significance stars} are printed for each coefficient.}
\item{\dots}{further arguments passed to or from other methods. }
}
\details{
Provides a summary of the class \code{lambda} object generated by \code{glm.lambda}.
}
\value{
Returns the same structure as \code{\link{summary.glm}} with an added component, \code{lambda}. \eqn{1 - \lambda} is the estimated upper asymptote of the psychometric function.
}
\author{ Ken Knoblauch }
\seealso{ \code{\link{probit.lambda}}, \code{\link{glm.lambda}} }
\keyword{ methods }
\keyword{ print }
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