Selects the best set of predictors among the given sets by means of AIC.
Computes all the models defined by a list of groups of predictors Returns the best model according to AIC and id of the corresponding predictors in the list The different models are computed in parallel
nrmChoose( adj, w.list, xi = NULL, directed, selfloops, pval = 0.05, init = NULL, ncores = NULL )
nrmPredictor object. Nested list of predictors to be selected.
Xi matrix (optional). defaults to scm Xi matrix.
logical. Is the network directed?
logical. Does the network contain selfloops?
numeric. the significance at which computing confidence intervals. defaults to 0.05
initial values for the MLE numerical maximisation. (See
Number of cores for parallelisation of selection process. (optional) Defaults to number of available cores - 1.
list containing the best model according to AIC and id of the corresponding predictors in the list