sbl: Sparse Bayesian Learning for QTL Mapping and Genome-Wide Association Studies

Implements sparse Bayesian learning method for QTL mapping and genome-wide association studies.

Version: 0.1.0
Depends: stats, R (≥ 2.10)
Suggests: knitr, rmarkdown
Published: 2018-10-26
Author: Meiyue Wang and Shizhong Xu
Maintainer: Meiyue Wang <mwang024 at ucr.edu>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: sbl results

Downloads:

Reference manual: sbl.pdf
Vignettes: 'sbl.tutorial'
Package source: sbl_0.1.0.tar.gz
Windows binaries: r-devel: sbl_0.1.0.zip, r-devel-gcc8: sbl_0.1.0.zip, r-release: sbl_0.1.0.zip, r-oldrel: sbl_0.1.0.zip
OS X binaries: r-release: sbl_0.1.0.tgz, r-oldrel: sbl_0.1.0.tgz

Reverse dependencies:

Reverse imports: mrMLM, mrMLM.GUI

Linking:

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