Package: RAINBOWR
Type: Package
Title: Genome-Wide Association Study with SNP-Set Methods
Version: 0.1.14
Authors@R: c(
  person("Kosuke", "Hamazaki", email = "hamazaki@ut-biomet.org", role = c("aut", "cre")),
  person("Hiroyoshi", "Iwata", email = "aiwata@mail.ecc.u-tokyo.ac.jp", role = c("aut", "ctb"))
  )
Maintainer: Kosuke Hamazaki <hamazaki@ut-biomet.org>
Description: By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our preprint on bioRxiv: Kosuke Hamazaki and Hiroyoshi Iwata (2019) <doi:10.1101/612028>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp, rrBLUP, rgl, tcltk, Matrix, cluster, MASS, pbmcapply,
        optimx, methods
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-11-14 02:15:06 UTC; hamazaki
Author: Kosuke Hamazaki [aut, cre],
  Hiroyoshi Iwata [aut, ctb]
Repository: CRAN
Date/Publication: 2019-11-14 09:00:09 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 10:57:45 UTC; windows
Archs: i386, x64
