degreenet (version 1.3-1)

simnb: Simulate from a Negative Binomial Distribution

Description

Functions to generate random samples from a Negative Binomial Probability Distribution

Usage

simnb(n=100, v=c(5,0.2), maxdeg=10000)

Arguments

n

number of samples to draw.

v

Negative Binomial parameters: expected count and probability of another.

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

anbmle, dnb

Examples

# Now, simulate a Negative Binomial distribution over 100
# observations with lognormal mean -1 and lognormal standard deviation 1.

set.seed(1)
s4 <- simnb(n=100, v=c(5,0.2))
table(s4)