geneSLOPE: Genome-Wide Association Study with SLOPE

Genome-wide association study (GWAS) performed with SLOPE, short for Sorted L-One Penalized Estimation, a method for estimating the vector of coefficients in a linear model. In the first step of GWAS, single nucleotide polymorphisms (SNPs) are clumped according to their correlations and distances. Then, SLOPE is performed on the data where each clump has one representative. Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su and Emmanuel Candes (2014) "SLOPE - Adaptive Variable Selection via Convex Optimization" <doi:10.48550/arXiv.1407.3824>.

Version: 0.38.2
Depends: R (≥ 3.1.3), SLOPE
Imports: ggplot2, bigmemory, grid, utils, stats
Suggests: shiny, knitr, rmarkdown, testthat
Published: 2023-08-16
Author: Damian Brzyski [aut], Christine Peterson [aut], Emmanuel J. Candes [aut], Malgorzata Bogdan [aut], Chiara Sabatti [aut], Piotr Sobczyk [cre, aut]
Maintainer: Piotr Sobczyk <pj.sobczyk at gmail.com>
BugReports: https://github.com/psobczyk/geneSLOPE/issues
License: GPL-3
URL: https://github.com/psobczyk/geneSLOPE
NeedsCompilation: no
Materials: README
CRAN checks: geneSLOPE results

Documentation:

Reference manual: geneSLOPE.pdf
Vignettes: Tutorial for GWAS with SLOPE

Downloads:

Package source: geneSLOPE_0.38.2.tar.gz
Windows binaries: r-devel: geneSLOPE_0.38.2.zip, r-release: geneSLOPE_0.38.2.zip, r-oldrel: geneSLOPE_0.38.2.zip
macOS binaries: r-release (arm64): geneSLOPE_0.38.2.tgz, r-oldrel (arm64): geneSLOPE_0.38.2.tgz, r-release (x86_64): geneSLOPE_0.38.2.tgz
Old sources: geneSLOPE archive

Linking:

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