| Name : R-SuperPCA
| |
| Version : 0.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.3.1
| Date : 2024-09-10 11:05:30
|
| Group : Development/Libraries/Other
| Source RPM : R-SuperPCA-0.4.0-lp156.3.1.src.rpm
|
| Size : 0.12 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Supervised Principal Component Analysis
|
Description :
Dimension reduction of complex data with supervision from auxiliary
information. The package contains a series of methods for different
data types (e.g., multi-view or multi-way data) including the
supervised singular value decomposition (SupSVD), supervised sparse and
functional principal component (SupSFPC), supervised integrated factor
analysis (SIFA) and supervised PARAFAC/CANDECOMP factorization (SupCP).
When auxiliary data are available and potentially affect the intrinsic
structure of the data of interest, the methods will accurately recover
the underlying low-rank structure by taking into account the
supervision from the auxiliary data. For more details, see the paper by
Gen Li, < DOI:10.1111/biom.12698>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
