seedToNet: Produces a random network from a seed value
In GNAR: Methods for Fitting Network Time Series Models
seedToNet R Documentation
Produces a random network from a seed value
Description
Produces a reproducible undirected Erdos-Reyni random network using a particular seed value.
Usage
seedToNet(seed.no, nnodes=34, graph.prob=0.5)
Arguments
seed.no
a valid number to set the seed to.
nnodes
the number of nodes in the produced network.
graph.prob
the probability that each pair of nodes is connected.
Details
graph.prob effectively controls the sparsity of the network. All distances are set to 1.
Value
A GNARnet object.
Examples
#Generate the random graph from seed 10, with 5 nodes and connection prob 0.5
seedToNet(10,nnodes=5,graph.prob=0.5)
GNAR documentation built on April 28, 2023, 1:12 a.m.
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| seedToNet | R Documentation |
Produces a random network from a seed value
Description
Produces a reproducible undirected Erdos-Reyni random network using a particular seed value.
Usage
seedToNet(seed.no, nnodes=34, graph.prob=0.5)
Arguments
seed.no |
a valid number to set the seed to. |
nnodes |
the number of nodes in the produced network. |
graph.prob |
the probability that each pair of nodes is connected. |
Details
graph.prob effectively controls the sparsity of the network. All distances are set to 1.
Value
A GNARnet object.
Examples
#Generate the random graph from seed 10, with 5 nodes and connection prob 0.5
seedToNet(10,nnodes=5,graph.prob=0.5)
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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