cnParHist: Parenthood Histogram
In sdnet: Soft-Discretization-Based Bayesian Network Inference
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Calculates the histogram of parent-child edges for a catNetworkEvaluate object
or a list of catNetworks
Usage
1
cnParHist(object)
Arguments
object
catNetworkEvaluate or list of catNetwork objects
Value
a numerical matrix
Author(s)
N. Balov
Examples
1
2
3
4
5
6
cnet <- cnRandomCatnet(numnodes=20, maxpars=3, numcats=2)
psamples <- cnSamples(cnet, 100)
nodeOrder <- sample(1:20)
nets <- cnSearchOrder(psamples, pert=NULL,
maxParentSet=2, maxComplexity=50, nodeOrder)
cnParHist(object=nets)
sdnet documentation built on May 2, 2019, 12:43 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Calculates the histogram of parent-child edges for a catNetworkEvaluate object
or a list of catNetworks
Usage
1 | cnParHist(object)
|
Arguments
object |
|
Value
a numerical matrix
Author(s)
N. Balov
Examples
1 2 3 4 5 6 | cnet <- cnRandomCatnet(numnodes=20, maxpars=3, numcats=2)
psamples <- cnSamples(cnet, 100)
nodeOrder <- sample(1:20)
nets <- cnSearchOrder(psamples, pert=NULL,
maxParentSet=2, maxComplexity=50, nodeOrder)
cnParHist(object=nets)
|
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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