Package: RAINBOWR
Type: Package
Title: Genome-Wide Association Study with SNP-Set Methods
Version: 0.1.42
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: 7.3.3
Suggests: knitr, rmarkdown, plotly, haplotypes, adegenet, ggplot2,
        ggtree, scatterpie, phylobase, ggimage, furrr, future,
        progressr, foreach, doParallel, data.table
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://kosukehamazaki.r-universe.dev
Date/Publication: 2026-10-13 09:32:04 UTC
RemoteUrl: https://github.com/kosukehamazaki/rainbowr
RemoteRef: HEAD
RemoteSha: 3fed0ec2720eb3211354f85ad7fbb8a2b65385c5
NeedsCompilation: yes
Packaged: 2026-10-13 12:18:29 UTC; root
Author: Kosuke Hamazaki [aut, cre],
  Hiroyoshi Iwata [aut, ctb]