| Name : R-hdpca
| |
| Version : 1.1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.13
| Date : 2024-06-14 11:27:19
|
| Group : Development/Libraries/Other
| Source RPM : R-hdpca-1.1.5-lp153.1.13.src.rpm
|
| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : Principal Component Analysis in High-Dimensional Data
|
Description :
In high-dimensional settings: Estimate the number of distant spikes
based on the Generalized Spiked Population (GSP) model. Estimate the
population eigenvalues, angles between the sample and population
eigenvectors, correlations between the sample and population PC scores,
and the asymptotic shrinkage factors. Adjust the shrinkage bias in the
predicted PC scores. Dey, R. and Lee, S. (2019)
< doi:10.1016/j.jmva.2019.02.007>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
