main: Main function of the MCMC simulation.

In EDISON: Network Reconstruction and Changepoint Detection

Description

This function executes the main loop of the MCMC simulation, making the different moves and recording samples.

Usage

main(X, Y, initiation, GLOBvar, HYPERvar)

Arguments

X	Input response data.
Y	Input target data.
initiation	Initialisation of the MCMC simulation, as obtained by function init.
GLOBvar	Global variables of the MCMC simulation.
HYPERvar	Hyperparameter variables.

Value

Returns a list with the following elements:

counters	List containing the different move counters for the number of times moves have been proposed and accepted.
listStock	List containing the recorded samples for the networks, changepoints and hyperparameters

Author(s)

Sophie Lebre

Frank Dondelinger

References

For more information about the MCMC simulations, see:

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

runDBN

EDISON documentation built on May 2, 2019, 2:39 a.m.