nrm_choose: Selects the best set of predictors among the given sets by...

In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs

Description

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

Usage

nrmChoose(
  adj,
  w.list,
  xi = NULL,
  directed,
  selfloops,
  pval = 0.05,
  init = NULL,
  ncores = NULL
)

nrm_choose(
  adj,
  w.list,
  xi = NULL,
  directed,
  selfloops,
  pval = 0.05,
  init = NULL,
  ncores = NULL
)

Arguments

adj	adjacency matrix
w.list	nrmPredictor object. Nested list of predictors to be selected.
xi	Xi matrix (optional). defaults to scm Xi matrix.
directed	logical. Is the network directed?
selfloops	logical. Does the network contain selfloops?
pval	numeric. the significance at which computing confidence intervals. defaults to 0.05
init	initial values for the MLE numerical maximisation. (See nrm.)
ncores	Number of cores for parallelisation of selection process. (optional) Defaults to number of available cores - 1.

Value

list containing the best model according to AIC and id of the corresponding predictors in the list

ghypernet documentation built on Oct. 15, 2021, 5:14 p.m.