main: Main function of the MCMC simulation.

Description Usage Arguments Value Author(s) References See Also

View source: R/main.R

Description

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

Usage

1
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 19, 2017, 1:40 p.m.
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