summary.mix.rd

这个包里面含有利用极大似然估计方法来拟合成组数据和条件数据的有限混合分布模型的函数

\name{summary.mix} 
\alias{summary.mix}
\title{Summarizing Mixture Model Fits}
\description{
 \code{summary} method for class \code{"mix"}. It is called via
 the generic function \code{\link{summary}}.
}
\usage{
\method{summary}{mix}(object, digits = 4, \dots)
}
\arguments{
\item{object}{an object of class \code{"mix"}, usually, the results
 returned by the model fitting function \code{\link{mix}}.}
\item{digits}{how many significant digits are to be used.}
\item{\dots}{additional arguments affecting the summary produced.}
}
\value{
A list containing the following items:
\item{parameters}{a data frame containing the values for
 parameters of component distributions, which are, in order, 
 the proportions, means, and standard deviations.}
\item{standard errors}{a data frame giving the standard errors
 of estimated parameters.}
\item{anova table}{analysis of variance table for the
 \code{mixobj}, that is, the results from the function \code{anova.mix}.}
}
\seealso{
 \code{\link{mix}} for model fitting, \code{\link{summary}} for
 summarizing other kinds of object. \code{\link{anova.mix}} for
 information about \code{anova table}.
}
\examples{
data(pike65)
data(pikepar)
fit <- mix(pike65, pikepar, "lnorm", mixconstr(consigma = "CCV"), emsteps = 3)
fit
summary(fit)
}
\keyword{models}