bdg.metanet: Estimate a meta-network from module eigengenes
In montilab/shine: Structure Learning for Hierarchical Networks
Description
Usage
Arguments
Value
Description
Estimate a meta-network from module eigengenes
Usage
1
bdg.metanet(eigs, cut = 0.5, mpl = FALSE, ...)
Arguments
eigs
Module eigengenes
cut
Threshold for selected edges from posterior probabilities
mpl
Use true for marginal pseudo-likehlihood
...
One or more arguments passed to bdgraph
Value
A list of data pertaining to resulting meta-network
montilab/shine documentation built on May 20, 2021, 4:22 p.m.
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Description Usage Arguments Value
Description
Estimate a meta-network from module eigengenes
Usage
1 | bdg.metanet(eigs, cut = 0.5, mpl = FALSE, ...)
|
Arguments
eigs |
Module eigengenes |
cut |
Threshold for selected edges from posterior probabilities |
mpl |
Use true for marginal pseudo-likehlihood |
... |
One or more arguments passed to bdgraph |
Value
A list of data pertaining to resulting meta-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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