sampleBinit {EDISON} | R Documentation |
This function samples the initial regression coefficients for the networks.
sampleBinit(Si, sig2, delta2, X, q)
Si |
Network structure. |
sig2 |
Sigma squared. |
delta2 |
Signal-to-noise ratio hyperparameter. |
X |
Input data. |
q |
Number of nodes. |
Returns a vector of regression coefficients.
Sophie Lebre
For details of the regression model, 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.