simpln {degreenet}R Documentation

Simulate from a Poisson Lognormal Distribution

Description

Functions to generate random samples from a Poisson Lognormal Probability Distribution

Usage

simpln(n=100, v=c(-1,1), maxdeg=10000)

Arguments

n number of samples to draw.
v Poisson Lognormal parameters: lognormal mean and lognormal s.d.
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

aplnmle, dpln

Examples

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

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

[Package degreenet version 1.0 Index]