mgm.cpc: Conservative PC
In nehaabraham/causalMGM: Causal Learning of Mixed Graphical Models
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Returns the directed graph using the conservative Peter-Clark algorithm.
Usage
1
mgm.cpc(ds, graph)
Arguments
ds
Dataset Object
graph
Undirected graph received by calling the function mgm()
Value
Returns the directed graph
Author(s)
Neha Abraham, Vineet Raghu, Panagiotis Benos
Examples
1
2
3
4
5
library(causalMGM)
mgm_init()
ds <- loadSampleData()
graph <- mgm(ds)
mgm.cpc(ds, graph)
nehaabraham/causalMGM documentation built on May 24, 2019, 6:11 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Returns the directed graph using the conservative Peter-Clark algorithm.
Usage
1 | mgm.cpc(ds, graph)
|
Arguments
ds |
Dataset Object |
graph |
Undirected graph received by calling the function mgm() |
Value
Returns the directed graph
Author(s)
Neha Abraham, Vineet Raghu, Panagiotis Benos
Examples
1 2 3 4 5 | library(causalMGM)
mgm_init()
ds <- loadSampleData()
graph <- mgm(ds)
mgm.cpc(ds, graph)
|
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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