| Name : R-cvCovEst
| |
| Version : 1.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.5.1
| Date : 2024-09-30 18:58:24
|
| Group : Development/Libraries/Other
| Source RPM : R-cvCovEst-1.2.2-lp153.5.1.src.rpm
|
| Size : 0.80 MB
| |
| Packager : (none)
| |
| Summary : Cross-Validated Covariance Matrix Estimation
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
