BinoHyperMove {EDISON} | R Documentation |
Makes a binomial hyperparameter move.
Description
This function proposes a move for one of the hyperparameters of the binomial prior, calculates the acceptance probability and accepts the move accordingly.
Usage
BinoHyperMove(network.info, node.sharing, GLOBvar)
Arguments
network.info |
The collected network information obtained using
|
node.sharing |
Which type of node sharing is used, either |
GLOBvar |
Global variables of the MCMC. |
Value
Returns a list with elements:
move |
The move type (in this case, 2). |
move.made |
1 if the move was proposed, 0 otherwise. |
network.info |
The network information, including the new hyperparameters if the move was accepted. |
accept |
Whether the move was accepted or not. |
Author(s)
Frank Dondelinger
References
For information about the binomial 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.