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degreenet (version 1.3-1)

simdp: Simulate from a Discrete Pareto Distribution

Description

Functions to generate random samples from a Discrete Pareto Probability Distribution

Usage

simdp(n=100, v=3.5, maxdeg=10000)

Arguments

n
number of samples to draw.
v
Discrete Pareto parameters: PDF exponent.
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

adpmle, ddp

Examples

Run this code
## Not run: 
# # Now, simulate a Discrete Pareto distribution over 100
# # observations with lognormal mean -1 and lognormal standard deviation 1.
# 
# set.seed(1)
# s4 <- simdp(n=100, v=3.5)
# table(s4)
# ## End(Not run)

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