degreenet-internal: Internal degreenet Objects
In degreenet: Models for Skewed Count Distributions Relevant to Networks

Description Usage Arguments Details Value Note References See Also

Internal degreenet functions.

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bootstrapyule(x,cutoff=1,cutabove=1000,
              m=200,alpha=0.95,guess=3.31,hellinger=FALSE,
              mle.meth="ayulemle")

`x`	A vector of counts (one per observation).
`cutoff`	Calculate estimates conditional on exceeding this value.
`cutabove`	Calculate estimates conditional on not exceeding this value.
`range`	Maxumum cutoff to use
`lims`	Plotting limits
`m`	Number of bootstrap samples to draw
`alpha`	Confidence level to use
`guess`	Initial estimate at the MLE.
`hellinger`	Minimize Hellinger distance of the parametric model from the data instead of maximizing the likelihood.
`mle.meth`	Method of calculating the MLE

Most of these are similar to those for the Yule distribution or are not to be called by the user.

vector containing the lower bound, bootstrap median, upper bound and MLE for the model

See the working papers on http://www.csss.washington.edu/Papers for details

Jones, J. H. and Handcock, M. S. "An assessment of preferential attachment as a mechanism for human sexual network formation," Proceedings of the Royal Society, B, 2003, 270, 1123-1128.

ayulemle, awarmle, dyule

degreenet documentation built on May 1, 2019, 8:08 p.m.