SBICgraph (version 1.0.0)

modelset: Construct model pool using the two-step algorithm

Description

For a given prior graph, the two-step algorithm, including edge enrichment and pruning, is used to construct the model pool

Usage

modelset(data, lambda, P)

Arguments

data

A n by p data frame of observations

lambda

Tuning parameter vector

P

Prior adjacency matrix

Value

A list including all the candidate models in the model pool. Each model is represented by a p by p adjacency matrix

Examples

# NOT RUN {
  set.seed(1)
  d=simulate(n=100, p=100, m1 = 100, m2 = 30)
  data=d$data
  P=d$priornetwork
  lambda=exp(seq(-5,5,length=100))
  candidates=modelset(data=data,lambda=lambda, P=P)
# }