degreenet-internal: Internal degreenet Objects

In degreenet: Models for Skewed Count Distributions Relevant to Networks

Internal degreenet Objects

Description

Internal degreenet functions.

Usage

adpmle(x, cutoff = 1, cutabove = 1000, guess = 3.5, hessian=TRUE)

Arguments

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.
guess	Initial estimate at the MLE.
hessian	Calculate the hessian of the information matrix (for use with calculating the standard errors.

Value

theta	vector of MLE of the parameters.
asycov	asymptotic covariance matrix.
asycor	asymptotic correlation matrix.
se	vector of standard errors for the MLE.
conc	The value of the concentration index (if calculated).

Note

See the papers on https://handcock.github.io/?q=Holland for details.

References

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.

See Also

ayulemle, adqemle, simdqe

degreenet documentation built on Sept. 26, 2024, 1:08 a.m.