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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 DOI: 10.32614/CRAN.package.sbl 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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