| Name : R-nscancor
| |
| Version : 0.7.0.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:11:02
|
| Group : Development/Libraries/Other
| Source RPM : R-nscancor-0.7.0.6-lp153.1.5.src.rpm
|
| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : Non-Negative and Sparse CCA
|
Description :
Two implementations of canonical correlation analysis (CCA) that are
based on iterated regression. By choosing the appropriate regression
algorithm for each data domain, it is possible to enforce sparsity,
non-negativity or other kinds of constraints on the projection vectors.
Multiple canonical variables are computed sequentially using a
generalized deflation scheme, where the additional correlation not
explained by previous variables is maximized. nscancor() is used to
analyze paired data from two domains, and has the same interface as
cancor() from the \'stats\' package (plus some extra parameters).
mcancor() is appropriate for analyzing data from three or more domains.
See
< https://sigg-iten.ch/learningbits/2014/01/20/canonical-correlation-analysis-under-constraints/>
and Sigg et al. (2007) < doi:10.1109/MLSP.2007.4414315> for more
details.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
