Package: geneSLOPE
Type: Package
Title: Genome-Wide Association Study with SLOPE
Version: 0.38.2
Date: 2023-08-07
Authors@R: c(person("Damian", "Brzyski", role = "aut"),
    person("Christine", "Peterson", role = "aut"),
    person("Emmanuel J.", "Candes", role = "aut"),
    person("Malgorzata", "Bogdan", role = "aut"),
    person("Chiara", "Sabatti", role = "aut"),
    person("Piotr", "Sobczyk", email = "pj.sobczyk@gmail.com", role = c("cre", "aut")))
Description: 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" 
    <arXiv:1407.3824>.
License: GPL-3
URL: https://github.com/psobczyk/geneSLOPE
BugReports: https://github.com/psobczyk/geneSLOPE/issues
Depends: R (>= 3.1.3), SLOPE
Imports: ggplot2, bigmemory, grid, utils, stats
Suggests: shiny, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Repository: CRAN
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-08-14 07:46:51 UTC; piotr
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@gmail.com>
Date/Publication: 2023-08-16 09:12:37 UTC
Built: R 4.2.0; ; 2023-08-27 04:55:16 UTC; unix
