NetworkProbExp

Network information collected using the function
<code><a rd-options="" href="/link/CollectNetworkInfo?package=EDISON&version=1.1.1" data-mini-rdoc="EDISON::CollectNetworkInfo">CollectNetworkInfo</a></code>

network.info


This function calculates the log prior probability of the network structure.
It uses the exponential information sharing prior.


Package EDISON (Estimation of Directed Interactions from
Sequences Of Non-homogeneous gene expression) runs an MCMC
simulation to reconstruct networks from time series data, using
a non-homogeneous, time-varying dynamic Bayesian network.
Networks segments and changepoints are inferred concurrently,
and information sharing priors provide a reduction of the
inference uncertainty.

NetworkProbExp: Calculates the prior probability of the network using the exponential prior.

Description

Usage

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Value

References

See Also