| Name : R-Ball
| |
| Version : 1.3.13
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.7
| Date : 2024-06-14 11:06:59
|
| Group : Development/Libraries/Other
| Source RPM : R-Ball-1.3.13-lp153.1.7.src.rpm
|
| Size : 2.92 MB
| |
| Packager : (none)
| |
| Summary : Statistical Inference and Sure Independence Screening via Ball Statistics
|
Description :
Hypothesis tests and sure independence screening (SIS) procedure based
on ball statistics, including ball divergence < doi:10.1214/17-AOS1579>,
ball covariance < doi:10.1080/01621459.2018.1543600>, and ball
correlation < doi:10.1080/01621459.2018.1462709>, are developed to
analyze complex data in metric spaces, e.g, shape, directional,
compositional and symmetric positive definite matrix data. The ball
divergence and ball covariance based distribution-free tests are
implemented to detecting distribution difference and association in
metric spaces < doi:10.18637/jss.v097.i06>. Furthermore, several generic
non-parametric feature selection procedures based on ball correlation,
BCor-SIS and all of its variants, are implemented to tackle the
challenge in the context of ultra high dimensional data. A fast
implementation for large-scale multiple K-sample testing with ball
divergence < doi: 10.1002/gepi.22423> is supported, which is
particularly helpful for genome-wide association study.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
