Learn R Programming

degreenet (version 1.3-1)

simcmp: Simulate from a Conway Maxwell Poisson Distribution

Description

Functions to generate random samples from a Conway Maxwell Poisson Probability Distribution

Usage

simcmp(n=100, v=c(7,2.6), maxdeg=10000)

Arguments

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

acmpmle, dcmp

Examples

Run this code
# Now, simulate a Conway Maxwell Poisson distribution over 100
# observations with lognormal mean -1 and lognormal standard deviation 1.

set.seed(1)
s4 <- simcmp(n=100, v=c(7,3))
table(s4)

Run the code above in your browser using DataLab