simnb {degreenet} | R Documentation |
Functions to generate random samples from a Negative Binomial Probability Distribution
simnb(n=100, v=c(5,0.2), maxdeg=10000)
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). |
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.
anbmle, dnb
# 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)