Package: RAINBOWR
Type: Package
Title: Genome-Wide Association Study with SNP-Set Methods
Version: 0.1.35
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, Matrix, cluster, MASS, pbmcapply, optimx, methods, ape,
        stringr, pegas, rrBLUP, expm, here, htmlwidgets, Rfast, gaston,
        MM4LMM, R.utils
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.3.1
Suggests: knitr, rmarkdown, plotly, haplotypes, adegenet, ggplot2,
        ggtree, scatterpie, phylobase, furrr, future, progressr,
        foreach, doParallel, data.table
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-03 08:29:24 UTC; hamazaki
Author: Kosuke Hamazaki [aut, cre],
  Hiroyoshi Iwata [aut, ctb]
Repository: CRAN
Date/Publication: 2024-03-03 09:12:36 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-03-04 18:34:16 UTC; unix
Archs: RAINBOWR.so.dSYM
