rnet.gnp: Call 'igraph::sample_gnp' to Generate Random Graph Object...
In simcausal: Simulating Longitudinal Data with Causal Inference Applications
View source: R/network_distributions.R
rnet.gnp R Documentation
Call igraph::sample_gnp to Generate Random Graph Object According to the G(n,p) Erdos-Renyi Model
Description
Call igraph::sample_gnp and convert the output to simcausal network matrix.
Usage
rnet.gnp(n, p)
Arguments
n
Size of the network graph (number of nodes).
p
Same as igraph::sample_gnp: The probability for drawing an edge between two arbitrary vertices (G(n,p) graph).
Value
A matrix with n rows, each row lists the indices of friends connected to that particular observation.
See Also
rnet.gnm
simcausal documentation built on Oct. 29, 2022, 1:13 a.m.
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View source: R/network_distributions.R
| rnet.gnp | R Documentation |
Call igraph::sample_gnp to Generate Random Graph Object According to the G(n,p) Erdos-Renyi Model
Description
Call igraph::sample_gnp and convert the output to simcausal network matrix.
Usage
rnet.gnp(n, p)
Arguments
n |
Size of the network graph (number of nodes). |
p |
Same as |
Value
A matrix with n rows, each row lists the indices of friends connected to that particular observation.
See Also
rnet.gnm
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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