ScaleFree: Generate Scale free precision matrix
In IxavierHiggins/siGGMrepo: siGGM Package
Description
Usage
Arguments
Value
References
Examples
Description
Estimate a precision matrix with a scale free network structure and simulate multivariate normal data.
Usage
1
ScaleFree(p, powerparm, numadd, numT)
Arguments
p
Dimension of network
powerparm
Power parameter governing the preferential attachment model. Small values produce random networks while large values lead to scale free networks.
numadd
number of edges to add each iteration
numT
number of timepoints
Value
A list with components
Precision
Estimated p by p inverse covariance matrix
Data
Data matrix containing the simulated time series for each region (numT by p data matrix)
References
Csardi G, Nepusz T: The igraph software package for complex network research, InterJournal, Complex Systems 1695. 2006. http://igraph.org
Examples
1
2
3
fit<-ScaleFree(40,1.2,3,200)
fit$Precision
fit$Data
IxavierHiggins/siGGMrepo documentation built on May 21, 2019, 9:39 a.m.
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Description Usage Arguments Value References Examples
Description
Estimate a precision matrix with a scale free network structure and simulate multivariate normal data.
Usage
1 | ScaleFree(p, powerparm, numadd, numT)
|
Arguments
p |
Dimension of network |
powerparm |
Power parameter governing the preferential attachment model. Small values produce random networks while large values lead to scale free networks. |
numadd |
number of edges to add each iteration |
numT |
number of timepoints |
Value
A list with components
Precision |
Estimated p by p inverse covariance matrix |
Data |
Data matrix containing the simulated time series for each region (numT by p data matrix) |
References
Csardi G, Nepusz T: The igraph software package for complex network research, InterJournal, Complex Systems 1695. 2006. http://igraph.org
Examples
1 2 3 | fit<-ScaleFree(40,1.2,3,200)
fit$Precision
fit$Data
|
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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