degree.dists: Potential degree distributions
In streamDAG: Analytical Methods for Stream DAGs
degree.dists R Documentation
Potential degree distributions
Description
Calculates degree distribution probability density. By default calculates an uncorrelated (random) density for a given degree.
Usage
degree.dists(d, exp.lambda = 3/2, normalize = TRUE)
Arguments
d
degree
exp.lambda
if not NULL, allows specification of chaotic exp.lambda < 3/2 and correlated stochastic processes exp.lambda < 3/2.
normalize
ensures that sum of demsities = 1
Details
In general f(d) = \exp(-\lambda d) where d is the degree. For random degree distributions, \lambda = \log(3/2).
Value
Returns a density plot for a degree.
Author(s)
Ken Aho
See Also
degree.distribution, plot_degree.dist.
streamDAG documentation built on April 4, 2025, 12:28 a.m.
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| degree.dists | R Documentation |
Potential degree distributions
Description
Calculates degree distribution probability density. By default calculates an uncorrelated (random) density for a given degree.
Usage
degree.dists(d, exp.lambda = 3/2, normalize = TRUE)
Arguments
d |
degree |
exp.lambda |
if not NULL, allows specification of chaotic |
normalize |
ensures that sum of demsities = 1 |
Details
In general f(d) = \exp(-\lambda d) where d is the degree. For random degree distributions, \lambda = \log(3/2).
Value
Returns a density plot for a degree.
Author(s)
Ken Aho
See Also
degree.distribution, plot_degree.dist.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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