Function reference • mvIC

All functions
`adjusted_eigen_values()`	Regularized eigen-values
`bestSubsetSearch()`	Evaluate information criteria for best subset selection
`eclairs-class`	Class eclairs
`eclairs()`	Estimate covariance/correlation with low rank and shrinkage
`estimate_lambda_eb()`	Estimate shrinkage parameter by empirical Bayes
`mvForwardStepwise()`	Multivariate forward stepwise regression
`mvIC-class`	Class mvIC
`mvIC()`	Evaluate multivariate BIC
`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(<MArrayLM>)`	residuals for MArrayLM
`rlogDet()`	Regularized log determinant

Reference