dataSim200: DAG model with 200 nodes and 100 edges

Description Usage Format Source References

Description

dataSim200 is a list with the adjacency matrix of a randomly generated DAG with 200 nodes and 100 edges, 10 samples generated from the DAG and 5 permutations of the nodes.

Usage

1
data(SimDag200)

Format

dataSim200 contains the following objects:

Obs

List of 10 matrices (100x200) each of which with 100 observations simulated from the DAG.

Perms

List of 5 matrices (1x200) each of which with a permutation of the nodes.

TDag

Matrix (200x200) with the adjacency matrix of the DAG.

Source

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.

References

Shojaie, A. and Michailidis, G. (2010). Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs. Biometrika 97, 519-538.


FBFsearch documentation built on May 2, 2019, 2:26 p.m.