Man pages for GabrielHoffman/mvIC
Multivariate Information Criteria to identify important predictors in high dimensional multivariate regression
| adjusted_eigen_values | Regularized eigen-values |
| bestSubsetSearch | Evaluate information criteria for best subset selection |
| eclairs | Estimate covariance/correlation with low rank and shrinkage |
| eclairs-class | Class eclairs |
| estimate_lambda_eb | Estimate shrinkage parameter by empirical Bayes |
| mvForwardStepwise | Multivariate forward stepwise regression |
| mvIC | Evaluate multivariate BIC |
| mvIC-class | Class mvIC |
| mvIC_fit | Evaluate multivariate BIC |
| mvIC_from_residuals | Evaluate multivariate BIC from matrix of residuals |
| mvIC_result-class | Class mvIC_result |
| nparam | Number of parameters in model |
| pcTransform | PC transformation |
| residuals-method | residuals for MArrayLM |
| rlogDet | Regularized log determinant |
