dataSim6: DAG model with 6 nodes and 5 edges

In FBFsearch: Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors

DAG model with 6 nodes and 5 edges

Description

dataSim6 is a list with the adjacency matrix of a randomly generated DAG with 6 nodes and 5 edges and 100 correlation matrices generated from the DAG.

Usage

data(SimDag6)

Format

dataSim6 contains the following objects:

Corr

List of 100 matrices (6x6) each of which with a correlation matrix generated from the DAG.

TDag

Matrix (6x6) with the adjacency matrix of the DAG.

References

D. Altomare, G. Consonni and L. La Rocca (2012). Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with non-local priors. Article submitted to Biometric Methodology.

FBFsearch documentation built on Aug. 8, 2022, 5:06 p.m.