createAbnDag: Make DAG of class "abnDag"

In abn: Modelling Multivariate Data with Additive Bayesian Networks

Make DAG of class "abnDag"

Description

Make DAG of class "abnDag"

Usage

createAbnDag( dag, data.df = NULL, data.dists = NULL, ...)

Arguments

dag	a matrix or a formula specifying a DAG, see ‘Details’.
data.df	named dataframe.
data.dists	named list giving the distribution for each node in the network. If not provided it will be sample and returned.
...	further arguments passed to or from other methods.

Details

An object of class class(abnDag) contains a named matrix describing the DAG and possibly additional objects such as the associated distributions of the nodes. If the dag is specified with a formula, either data.df or data.dists is required with the . quantifier. If the dag is specified with an unnamed matrix and both data.df and data.dists are missing, lower-case letters of the Roman alphabet are used for the node names.

Value

abnDag object as list of dag, data.df, data.dists.

Create a legitimate DAGs

Create a legitimate DAG in the abn format.

An object of class abnDag containing a named matrix and a named list giving the distribution for each node.

Examples

createAbnDag(dag = ~a+b|a, data.df = data.frame("a"=1, "b"=1))
plot(createAbnDag(dag = matrix(c(0,1,0,0), 2, 2)))

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