summary.bcdag: bcdag object summaries

In BCDAG: Bayesian Structure and Causal Learning of Gaussian Directed Graphs

bcdag object summaries

Description

This method produces summaries of the input and output of the function learn_DAG().

Usage

## S3 method for class 'bcdag'
summary(object, ...)

Arguments

object	a bcdag object for which a summary is desired
...	additional arguments affecting the summary produced

Value

A printed message listing the inputs given to learn_DAG and the estimated posterior probabilities of edge inclusion.

Examples

n <- 1000
q <- 4
DAG <- matrix(c(0,1,1,0,0,0,0,0,0,0,0,0,0,1,1,0), nrow = q)

L <- DAG
L[L != 0] <- runif(q, 0.2, 1)
diag(L) <- c(1,1,1,1)
D <- diag(1, q)
Sigma <- t(solve(L))%*%D%*%solve(L)

a <- 6
g <- 1/1000
U <- g*diag(1,q)
w = 0.2

set.seed(1)
X <- mvtnorm::rmvnorm(n, sigma = Sigma)

out <- learn_DAG(1000, 0, X, a, U, w, fast = TRUE, collapse = TRUE, save.memory = FALSE)
summary(out)

BCDAG documentation built on April 4, 2025, 1:41 a.m.