check.valid.dag: Set of simple commonsense validity checks on the directed...

In abn: Modelling Multivariate Data with Additive Bayesian Networks

Set of simple commonsense validity checks on the directed acyclic graph definition matrix

Description

Set of simple commonsense validity checks on the directed acyclic graph definition matrix

Usage

check.valid.dag(
  dag = NULL,
  data.df = NULL,
  is.ban.matrix = FALSE,
  group.var = NULL
)

Arguments

dag	Named square matrix or a formula statement specifying a directed acyclic graph. If NULL an empty network is assumed.
data.df	data frame with names corresponding to variable/node names.
is.ban.matrix	Diagonals and cycles are not checked for ban-matrices. Defaults to FALSE.
group.var	not yet implemented

Value

dag as named square matrix

abn documentation built on Nov. 3, 2023, 5:08 p.m.