forLoopContentFitBayes: Regress each node on its parents.#'

In abn: Modelling Multivariate Data with Additive Bayesian Networks

Regress each node on its parents.#'

Description

Regress each node on its parents.#'

Usage

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

Value

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

abn documentation built on June 22, 2024, 10:23 a.m.