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: 0.36.6
Depends: R (≥ 3.1.3), SLOPE
Imports: ggplot2, bigmemory, grid, utils, stats
Suggests: shiny, knitr, rmarkdown, testthat
Published: 2016-02-02
Author: Damian Brzyski [aut], Christine Peterson [aut], Malgorzata Bogdan [aut], Chiara Sabatti [aut], Piotr Sobczyk [cre, aut]
Maintainer: Piotr Sobczyk <piotr.sobczyk at pwr.edu.pl>
BugReports: https://github.com/psobczyk/geneSLOPE/issues
License: GPL-3
URL: https://github.com/psobczyk/geneSLOPE
NeedsCompilation: no
Materials: README
CRAN checks: geneSLOPE results

Downloads:

Reference manual: geneSLOPE.pdf
Vignettes: Tutorial for GWAS with SLOPE
Package source: geneSLOPE_0.36.6.tar.gz
Windows binaries: r-devel: geneSLOPE_0.36.6.zip, r-release: geneSLOPE_0.36.6.zip, r-oldrel: geneSLOPE_0.36.6.zip
OS X Snow Leopard binaries: r-release: geneSLOPE_0.36.6.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: geneSLOPE_0.36.6.tgz