sim_gbn: Fit Gaussian Random Regression Parameters to a Network...
In robertness/bninfo: Queries and information theoritic operations on Bayesian networks.
Description
Usage
Arguments
Value
Description
Fit Gaussian Random Regression Parameters to a Network Structure
Fits Gaussian regression CPDs to a network skeleton to random Gaussian data.
Usage
1
sim_gbn(net)
Arguments
a
object of the bn class
Value
an object that inherits from bn.fit and bn.fit.gnet.
robertness/bninfo documentation built on May 27, 2019, 10:32 a.m.
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Description Usage Arguments Value
Description
Fit Gaussian Random Regression Parameters to a Network Structure Fits Gaussian regression CPDs to a network skeleton to random Gaussian data.
Usage
1 | sim_gbn(net)
|
Arguments
a |
object of the bn class |
Value
an object that inherits from bn.fit and bn.fit.gnet.
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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