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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 linear model. In the first step of GWAS, SNPs are clumped according to their correlations and distances. Then, SLOPE is performed on data where each clump has one representative.

Version: 0.38.3
Depends: R (≥ 3.1.3), SLOPE
Imports: ggplot2, bigmemory, grid, utils, stats
Suggests: shiny, knitr, rmarkdown, testthat
Published: 2025-06-20
DOI: 10.32614/CRAN.package.geneSLOPE
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 (source, R code)

Downloads:

Package source: geneSLOPE_0.38.3.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_0.38.3.tgz, r-oldrel (arm64): geneSLOPE_0.38.3.tgz, r-release (x86_64): geneSLOPE_0.38.3.tgz, r-oldrel (x86_64): geneSLOPE_0.38.3.tgz
Old sources: geneSLOPE archive

Linking:

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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.