simyule: Simulate from a Yule Distribution

In degreenet: Models for Skewed Count Distributions Relevant to Networks

Description

Functions to generate random samples from a Yule Probability Distribution

Usage

simyule(n=100, rho=4, maxdeg=10000)

Arguments

n	number of samples to draw.
rho	Yule PDF exponent.
maxdeg	Maximum degree to sample (using truncation of the distribution).

Value

vector of random draws or samples.

Note

See the working papers on http://www.csss.washington.edu/Papers 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, dyule

Examples

# Now, simulate a Yule distribution over 100
# observations with rho=4.0

set.seed(1)
s4 <- simyule(n=100, rho=4)
table(s4)

Example output

degreenet: Models for Skewed Count Distributions Relevant to Networks
Version 1.3-1 created on 2015-04-03.
copyright (c) 2013, Mark S. Handcock, University of California - Los Angeles
 Based on "statnet" project software (statnet.org).
 For license and citation information see statnet.org/attribution
 For citation information, type citation("degreenet").
 Type help("degreenet-package") to get started.

s4
 1  2  3  4  8 
73 21  4  1  1 

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