pcalg2dagitty: Transform the adjacency matrix from 'pcalg' into a 'dagitty'...

In pcalg: Methods for Graphical Models and Causal Inference

Transform the adjacency matrix from pcalg into a dagitty object

Description

Transform the adjacency matrix of type amat.cpdag or amat.pag (for details on coding see amatType).

Usage

pcalg2dagitty(amat, labels, type = "cpdag")

Arguments

amat	adjacency matrix of type amat.cpdag or amat.pag
labels	character vector of variable (or “node”) names.
type	string specifying the type of graph of the adjacency matrix amat. It can be a DAG (type="dag"), a CPDAG (type="cpdag") or a maximally oriented PDAG (type="pdag") from Meek (1995); then the type of adjacency matrix is assumed to be amat.cpdag. It can also be a MAG (type = "mag") or a PAG (type="pag"); then the type of the adjacency matrix is assumed to be amat.pag.

Details

For a given adjacency matrix amat the form amat.cpdag or amat.pag and a specified graph type, this function returns a dagitty object corresponding to the graph structure specified by amat, labels and type. The resulting object is compatible with the dagitty package.

Value

A dagitty graph (see the dagitty package).

Author(s)

Emilija Perkovic and Markus Kalisch

Examples

data(gmG)
n <- nrow    (gmG8$x)
V <- colnames(gmG8$x) # labels aka node names

amat <- wgtMatrix(gmG8$g)
amat[amat != 0] <- 1
if(requireNamespace("dagitty", quietly = TRUE)) {
dagitty_dag1 <- pcalg2dagitty(amat,V,type="dag")
}

pcalg documentation built on Sept. 26, 2023, 9:06 a.m.