getWinner: Get winner network by maximazing log predictive likelihood...
In DGM: Dynamic Graphical Models
Description
Usage
Arguments
Value
Description
Get winner network by maximazing log predictive likelihood (LPL)
from a set of models.
Usage
1
getWinner(models, nodes)
Arguments
models
2D matrix, or 3D models x node.
nodes
number of nodes.
Value
winner array with highest scored model(s).
DGM documentation built on Dec. 11, 2021, 9:54 a.m.
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Description Usage Arguments Value
Description
Get winner network by maximazing log predictive likelihood (LPL) from a set of models.
Usage
1 | getWinner(models, nodes)
|
Arguments
models |
2D matrix, or 3D models x node. |
nodes |
number of nodes. |
Value
winner array with highest scored model(s).
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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