FBFsearch (version 1.1)

dataSim100: DAG model with 100 nodes and 100 edges

Description

dataSim100 is a list with the adjacency matrix of a randomly generated DAG with 100 nodes and 100 edges, 10 samples generated from the DAG and 5 permutations of the nodes.

Usage

data(SimDag100)

Arguments

Format

dataSim100 contains the following objects:

Obs

List of 10 matrices (100x100) each of which with 100 observations generated from the DAG.

Perms

List of 5 matrices (1x100) each of which with a permutation of the nodes.

TDag

Matrix (100x100) with the adjacency matrix of the DAG.

References

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