recAncestor: Recursive Ancestor Detection

In AncReg: Ancestor Regression

Recursive Ancestor Detection

Description

This function recursively detects all ancestors of a given set of variables in a matrix. Adds ancestors of ancestors to the output matrix.

Usage

recAncestor(pmat)

Arguments

pmat	A boolean matrix indicating whether a connection was detected.

Value

A boolean matrix indicating whether a connection was detected or constructed.

See Also

AncReg, summary_graph

Examples

# random DAGS for simulation
set.seed(1234)

p <- 5 #number of nodes
DAG <- pcalg::randomDAG(p, prob = 0.5)

B <- matrix(0, p, p) # represent DAG as matrix
for (i in 2:p){
  for(j in 1:(i-1)){
    # store edge weights
    B[i,j] <- max(0, DAG@edgeData@data[[paste(j,"|",i, sep="")]]$weight)
  }
}
colnames(B) <- rownames(B) <- LETTERS[1:p]

# edge effects to adjecency matrix
B <- B != 0

# transform adjacency matrix to ancestral matrix
recAncestor(B)

AncReg documentation built on Aug. 8, 2025, 7:48 p.m.