simdp {degreenet} | R Documentation |
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.
Note
See the papers on https://handcock.github.io/?q=Holland 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
adpmle, ddp
Examples
## 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)
[Package degreenet version 1.3-5 Index]