| cp.shift {EDISON} | R Documentation | 
Makes a changepoint shift move.
Description
This function makes a changepoint shift move, possibly moving one of the changepoints.
Usage
cp.shift(Eall, Sall, Ball, Sig2all, X, Y, GLOBvar, HYPERvar, target)
Arguments
| Eall | Changepoints: List of target nodes, where each element contains a vector of changepoints. | 
| Sall | Network structure: List of target nodes, where each element is a NumSegs by NumNodes matrix giving the parents for the target node in each segment. A binary matrix. | 
| Ball | Network parameters: Similar to network structure, but with regression parameters included. | 
| Sig2all | Sigma squared parameters. | 
| X | Response data. | 
| Y | Target data. | 
| GLOBvar | Global variables of the MCMC simulation. | 
| HYPERvar | Hyperparameter variables. | 
| target | Which target node the move is being proposed for. | 
Value
A list with elements:
| E | New changepoint vector for target node. | 
| Sall | Updated network structure. | 
| Ball | Updated network structure with regression parameters. | 
| Sig2all | Updated sigma squared. | 
| prior.params | Updated vector of structure prior hyperparameters. | 
| accept | Whether the move was accepted or not. | 
| move | What type of move was made. In this case  | 
| alpha | The acceptance ratio of the move. | 
| estar | The location of the removed changepoint. | 
| k | Hyperparameter. | 
Author(s)
Sophie Lebre
References
For more information about the different changepoint moves, 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.