tamat: Make a temporal adjacency matrix

In causalDisco: Tools for Causal Discovery on Observational Data

Make a temporal adjacency matrix

Description

Make a temporal adjacency matrix

Usage

tamat(amat, order, type = NULL)

Arguments

amat	Adjacency matrix. Row names and column names should be identical and be the names of the variables/nodes. Variable names should be prefixed with their period, e.g. "child_x" for variable "x" at period "child"
order	A character vector with the periods in their order.
type	The type of adjancency matrix, must be one of "pdag" or "ag". If NULL (default), the function first checks for a tamat_type attribute in the input object and makes sure the output matches that, and if no the input does not have this attribute, it is set to "tpdag". Otherwise, the user can specify a type manually as follows: "pdag" should be used for directed graphs, namely DAG, CPDAG, MPDAG, TPDAG and PDAG adjacency matrices, i.e. adjacency matrices where A(i,j) = A(j,i) = 1 is interpreted as an undirected edge. "ag" may be used for ADMGs, MAGs, PAGs and TPAGs, where further possible arrowhead options are available (see amat)

Value

A tamat object, which is a matrix with a "order" attribute(a character vector listing the temporal order of the variables in the adjacency matrix).

causalDisco documentation built on Jan. 20, 2026, 5:09 p.m.