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📄 pike65.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
💻 RD
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\name{pike65}
\alias{pike65}
\title{Length-Frequency Data for Heming Lake Pike}
\usage{data(pike65)}
\description{
The raw data \code{pikeraw} give the lengths of 523 pike (Esox lucius). We 
grouped the lengths over 25 intervals to obtain this length-frequency data.

The \code{pike65} data frame has 25 rows and 2 columns.
}
\format{
  This data frame contains the following columns:
  \describe{
    \item{length}{the boundaries of grouping intervals.}
    \item{freq}{the frequencies of observation falling into each interval.}
  }
}
\source{
    Macdonald, P.D.M. and T.J. Pitcher (1979). 
    \emph{Age-groups from size-frequency data: a versatile and efficient method of analysing distribution mixtures.}
    Journal of the Fisheries Research Board of Canada 36, 987-1001.
}
\references{
    Macdonald, P.D.M. (1987). \emph{Analysis of length-frequency distributions.} 
    In R.C. Summerfelt and G.E. Hall [editors], Age and Growth of Fish, Iowa State University Press, Ames, Iowa. pp 371-384.

    \url{http://www.math.mcmaster.ca/peter/mix/demex/expike.html}
}
\examples{
data(pike65)
data(pikepar)
plot.mixdata(pike65)
fit <- mix(pike65, pikepar, "lnorm", constr = mixconstr(consigma = "CCV"), emsteps = 3)
plot(fit)
}
\keyword{datasets}

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