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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:

Please use the canonical form https://CRAN.R-project.org/package=sbl to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.