predictModelAverageNode: Predict a Multinomial-Dirichlet model
In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.
View source: R/cross-validation.R
Description
Predict a node of a Bayesian network, given a collection
of Bayesian networks. The predictions from each supplied
Bayesian network are averaged over, according to their
weights.
Usage
1
predictModelAverageNode(node, x, weights, train, newdata)
Arguments
node
An integer, giving the node
x
A BN
newdata
A data frame of new data
rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.
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View source: R/cross-validation.R
Description
Predict a node of a Bayesian network, given a collection of Bayesian networks. The predictions from each supplied Bayesian network are averaged over, according to their weights.
Usage
1 | predictModelAverageNode(node, x, weights, train, newdata)
|
Arguments
node |
An integer, giving the node |
x |
A BN |
newdata |
A data frame of new data |
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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