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

Documentation:

Reference manual:	sbl.pdf
Vignettes:	'sbl.tutorial'

Downloads:

Package source:	sbl_0.1.0.tar.gz
Windows binaries:	r-devel: sbl_0.1.0.zip, r-release: sbl_0.1.0.zip, r-oldrel: sbl_0.1.0.zip
macOS binaries:	r-release (arm64): sbl_0.1.0.tgz, r-oldrel (arm64): sbl_0.1.0.tgz, r-release (x86_64): sbl_0.1.0.tgz, r-oldrel (x86_64): sbl_0.1.0.tgz

Reverse dependencies:

Reverse imports:

mrMLM, mrMLM.GUI

Linking:

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