| computePx {EDISON} | R Documentation |
This function computes the projection matrix that is needed for calculation of the likelihood.
computePx(len, x, delta2)
len |
Delimiting breakpoints. |
x |
The observations of x in the corresponding state. |
delta2 |
Signal-to-noise ratio hyperparameter. |
The projection matrix.
Sophie Lebre
For more information about the hyperparameters and the functional form of the likelihood, 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.