forLoopContentFitBayes function

Regress each node on its parents.#'

forLoopContentFitBayes(
  child = NULL,
  dag = NULL,
  data.df = NULL,
  var.types = NULL,
  grouped.vars = NULL,
  group.ids = NULL,
  control = NULL,
  INLA.marginals = NULL,
  verbose = NULL,
  force.method = NULL,
  data.dists = NULL,
  mymodes = NULL,
  error.code = NULL,
  hessian.accuracy = NULL,
  mymargs = NULL
)

Arguments

• child: integer of node to be regressed
• var.types: vector of numeric encoding of distribution types. See get.var.types(data.dists)
• INLA.marginals: vector of logicals indicating which nodes are to be fitted using INLA
• mymodes: Empty list of modes for each node
• error.code: Empty element of error codes for each node
• hessian.accuracy: Empty element of hessian accuracies for each node
• mymargs: Empty list of marginals for each node

Returns

list of mlik, modes, marginals, error codes, hessian accuracies and a logical if INLA was used for each node.