simulate_ising: Implementation to simulate a Kuramoto model of oscillators
In Fagan-Lab/dynet: Network Dynamics
Description
Usage
Arguments
Value
View source: R/ising-glauber.R
Description
Simulate Kuramoto model on a ground truth network
Usage
1
simulate_ising(input_matrix, L, init = NULL, beta = 2)
Arguments
input_matrix
The input (ground-truth) adjacency matrix of a graph with N nodes. Must be valid N*N square adjacency matrix.
L
Integer length of the desired time series.
init
Vector initial condition, which must have binary value (0 or 1) and must have length N
beta
Float Inverse temperature tuning the likelihood that a node switches its state. Default to 2.
Value
An N * L observations on N nodes.
Fagan-Lab/dynet documentation built on March 3, 2021, 2:53 a.m.
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Description Usage Arguments Value
View source: R/ising-glauber.R
Description
Simulate Kuramoto model on a ground truth network
Usage
1 | simulate_ising(input_matrix, L, init = NULL, beta = 2)
|
Arguments
input_matrix |
The input (ground-truth) adjacency matrix of a graph with N nodes. Must be valid N*N square adjacency matrix. |
L |
Integer length of the desired time series. |
init |
Vector initial condition, which must have binary value (0 or 1) and must have length N |
beta |
Float Inverse temperature tuning the likelihood that a node switches its state. Default to 2. |
Value
An N * L observations on N nodes.
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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