| Name : R-abess
| |
| Version : 0.4.9
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-10 01:54:35
|
| Group : Development/Libraries/Other
| Source RPM : R-abess-0.4.9-lp153.1.1.src.rpm
|
| Size : 1.97 MB
| |
| Packager : (none)
| |
| Summary : Fast Best Subset Selection
|
Description :
Extremely efficient toolkit for solving the best subset selection
problem < https://www.jmlr.org/papers/v23/21-1060.html>. This package is
its R interface. The package implements and generalizes algorithms
designed in < doi:10.1073/pnas.2014241117> that exploits a novel
sequencing-and-splicing technique to guarantee exact support recovery
and globally optimal solution in polynomial times for linear model. It
also supports best subset selection for logistic regression, Poisson
regression, Cox proportional hazard model, Gamma regression,
multiple-response regression, multinomial logistic regression, ordinal
regression, (sequential) principal component analysis, and robust
principal component analysis. The other valuable features such as the
best subset of group selection < doi:10.1287/ijoc.2022.1241> and sure
independence screening < doi:10.1111/j.1467-9868.2008.00674.x> are also
provided.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
