GenerateData: Generate Data by Gaussian Graphical Model
In jiali-vt/BMGGM: Bayesian Multiple Gaussian Graphical Models
Description
Usage
Arguments
Value
Description
Generate Data by Gaussian Graphical Model
Usage
1
GenerateData(p, K, n, network_type = "ar2")
Arguments
p
dimension of each pathway.
K
number of pathways.
n
number of observations.
network_type
choice of type of network: 'ar(2)', 'chain', 'random' or 'scale-free'.
Value
a list of objets:
data data.
z_P pathway membership of genes.
A Precsion Matrix for the whole network.
jiali-vt/BMGGM documentation built on May 21, 2019, 12:20 p.m.
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Description Usage Arguments Value
Description
Generate Data by Gaussian Graphical Model
Usage
1 | GenerateData(p, K, n, network_type = "ar2")
|
Arguments
p |
dimension of each pathway. |
K |
number of pathways. |
n |
number of observations. |
network_type |
choice of type of network: 'ar(2)', 'chain', 'random' or 'scale-free'. |
Value
a list of objets: data data. z_P pathway membership of genes. A Precsion Matrix for the whole network.
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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