| Name : R-KRMM
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:34:09
|
| Group : Development/Libraries/Other
| Source RPM : R-KRMM-1.0-lp153.2.13.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Kernel Ridge Mixed Model
|
Description :
Solves kernel ridge regression, within the the mixed model framework,
for the linear, polynomial, Gaussian, Laplacian and ANOVA kernels. The
model components (i.e. fixed and random effects) and variance
parameters are estimated using the expectation-maximization (EM)
algorithm. All the estimated components and parameters, e.g. BLUP of
dual variables and BLUP of random predictor effects for the linear
kernel (also known as RR-BLUP), are available. The kernel ridge mixed
model (KRMM) is described in Jacquin L, Cao T-V and Ahmadi N (2016) A
Unified and Comprehensible View of Parametric and Kernel Methods for
Genomic Prediction with Application to Rice. Front. Genet. 7:145.
< doi:10.3389/fgene.2016.00145>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
