simpln {degreenet} | R Documentation |
Functions to generate random samples from a Poisson Lognormal Probability Distribution
simpln(n=100, v=c(0.6,1.2), maxdeg=10000, cutoff=1)
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). |
cutoff |
Calculate estimates conditional on exceeding this value. |
vector of random draws or samples.
See the working papers on http://www.csss.washington.edu/Papers for details
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.
aplnmle, dpln
# 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)