stepwise.backward {DGM} | R Documentation |
Stepise backward non-exhaustive greedy search, calculates the optimum value of the discount factor.
stepwise.backward(
Data,
node,
nbf = 15,
delta = seq(0.5, 1, 0.01),
max.break = TRUE,
priors = priors.spec()
)
Data |
Dataset with dimension number of time points |
node |
The node to find parents for. |
nbf |
The Log Predictive Likelihood will sum from (and including) this time point. |
delta |
A vector of values for the discount factor. |
max.break |
If |
priors |
List with prior hyperparameters. |
model.store The parents, LPL and chosen discount factor for the subset of models scored using this method.