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degreenet (version 1.3-1)

simwar: Simulate from a Waring Distribution

Description

Functions to generate random samples from a Waring Probability Distribution

Usage

simwar(n=100, v=c(3.5, 0.1), maxdeg=10000)

Arguments

n
number of samples to draw.
v
Waring parameters: scaling exponent and probability of a new actor.
maxdeg
Maximum degree to sample (using truncation of the distribution).

Value

vector of random draws or samples.

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

awarmle, dwar

Examples

Run this code
# Now, simulate a Waring distribution over 100
# observations with Waring with exponent 3.5 and probability of a new
# actor 0.1.

set.seed(1)
s4 <- simwar(n=100, v=c(3.5, 0.1))
table(s4)

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