Internal degreenet functions.
adpmle(x, cutoff = 1, cutabove = 1000, guess = 3.5, hessian=TRUE)
vector of MLE of the parameters.
asymptotic covariance matrix.
asymptotic correlation matrix.
vector of standard errors for the MLE.
The value of the concentration index (if calculated).
A vector of counts (one per observation).
Calculate estimates conditional on exceeding this value.
Calculate estimates conditional on not exceeding this value.
Initial estimate at the MLE.
Calculate the hessian of the information matrix (for use with calculating the standard errors.
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, adqemle, simdqe