CRAN/E | RAINBOWR

RAINBOWR

Genome-Wide Association Study with SNP-Set Methods

Installation

About

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.

Citation RAINBOWR citation info

Key Metrics

Version 0.1.35
R ≥ 3.5.0
Published 2024-03-03 52 days ago
Needs compilation? yes
License MIT
License File
CRAN checks RAINBOWR results

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Maintainer

Maintainer

Kosuke Hamazaki

hamazaki@ut-biomet.org

Authors

Kosuke Hamazaki

aut / cre

Hiroyoshi Iwata

aut / ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

RAINBOWR

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RAINBOWR archive

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

Suggests

knitr
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ggplot2
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progressr
foreach
doParallel
data.table

LinkingTo

Rcpp
RcppEigen