Package: RAINBOWR
Type: Package
Title: Genome-Wide Association Study with SNP-Set Methods
Version: 0.1.19
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 paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.
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, ape, stringr
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-22 12:07:20 UTC; hamazaki
Author: Kosuke Hamazaki [aut, cre],
  Hiroyoshi Iwata [aut, ctb]
Repository: CRAN
Date/Publication: 2020-07-23 10:50:02 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 06:21:08 UTC; windows
Archs: i386, x64
