SmallWorld: Generate Small World precision matrix
In IxavierHiggins/siGGMrepo: siGGM Package
Description
Usage
Arguments
Value
References
Examples
Description
Estimate a precision matrix with a small world network structure and simulate multivariate normal data.
Usage
1
SmallWorld(p, prop, numT)
Arguments
p
Dimension of network
prop
rewiring probability
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<-SmallWorld(40,.15,200)
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 small world network structure and simulate multivariate normal data.
Usage
1 | SmallWorld(p, prop, numT)
|
Arguments
p |
Dimension of network |
prop |
rewiring probability |
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<-SmallWorld(40,.15,200)
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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