B: True network edges

In sparseSEM: Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework

True network edges

Description

B is the M by M matrix defining network topology

Usage

data(B)

Format

The format is: M by M, where M is the number of vertices num [1:30, 1:30] 0 0 0 0 0 ...

Details

If B is not available (real data): the stat output that describes the true accuracy and FDR should be ignored.

References

1. Cai, X., Bazerque, J.A., and Giannakis, G.B. (2013). Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations. PLoS Comput Biol 9, e1003068.
2. Huang, A. (2014). "Sparse model learning for inferring genotype and phenotype associations." Ph.D Dissertation. University of Miami(1186).

Examples

data(B)

sparseSEM documentation built on Aug. 9, 2023, 5:07 p.m.