cvCovEst

An efficient cross-validated approach for covariance matrix estimation, particularly useful in high-dimensional settings. This method relies upon the theory of high-dimensional loss-based covariance matrix estimator selection developed by Boileau et al. (2022) doi:10.1080/10618600.2022.2110883 to identify the optimal estimator from among a prespecified set of candidates.