NetworkProbExp: Calculates the prior probability of the network using the...
In EDISON: Network Reconstruction and Changepoint Detection
Description
Usage
Arguments
Value
Author(s)
References
See Also
View source: R/NetworkProbExp.R
Description
This function calculates the log prior probability of the network structure.
It uses the exponential information sharing prior.
Usage
1
NetworkProbExp(network.info)
Arguments
network.info
Network information collected using the function
CollectNetworkInfo
Value
Returns the log prior probability of the network segments.
Author(s)
Frank Dondelinger
References
For information about the exponential information sharing prior,
see:
Husmeier et al. (2010), "Inter-time segment information sharing for
non-homogeneous dynamic Bayesian networks", NIPS.
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with
Bayesian regularization for inferring gene regulatory networks with
gradually time-varying structure", Machine Learning.
See Also
NetworkRatioExp, CalculatePriorRatio
EDISON documentation built on May 2, 2019, 2:39 a.m.
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Description Usage Arguments Value Author(s) References See Also
View source: R/NetworkProbExp.R
Description
This function calculates the log prior probability of the network structure. It uses the exponential information sharing prior.
Usage
1 | NetworkProbExp(network.info)
|
Arguments
network.info |
Network information collected using the function
|
Value
Returns the log prior probability of the network segments.
Author(s)
Frank Dondelinger
References
For information about the exponential information sharing prior, see:
Husmeier et al. (2010), "Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks", NIPS.
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.
See Also
NetworkRatioExp, CalculatePriorRatio
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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