rrBLUP: Ridge regression and other kernels for genomic selection

One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on kinship. The genetic covariance between lines can be modeled using a marker-based, additive relationship matrix, or via Gaussian and exponential kernels.

Version: 3.8
Suggests: multicore
Published: 2012-05-17
Author: Jeffrey Endelman
Maintainer: Jeffrey Endelman <j.endelman at gmail.com>
License: GPL-3
Citation: rrBLUP citation info
CRAN checks: rrBLUP results

Downloads:

Package source: rrBLUP_3.8.tar.gz
MacOS X binary: rrBLUP_3.8.tgz
Windows binary: rrBLUP_3.8.zip
Reference manual: rrBLUP.pdf
News/ChangeLog:NEWS
Old sources: rrBLUP archive