| sparseSEM-package | sparseSEM: Sparse-aware Maximum Likelihood for Structural Equation Models in Inferring Gene Regulatory Networks |
| B | True network edges |
| elasticNetSML | The Elastic Net penalty for SEM |
| elasticNetSMLcv | The Elastic Net penalty for SEM with user supplied alphas and lambdas |
| elasticNetSMLpoint | The Elastic Net penalty for SEM |
| lassoSML | The Lasso penalty for SML |
| Missing | Missing gene expression data |
| sparseSEM | sparseSEM: Sparse-aware Maximum Likelihood for Structural Equation Models in Inferring Gene Regulatory Networks |
| X | Genotype matrix |
| Y | Gene expression matrix |