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>.
| Version: | 0.1.19 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, rrBLUP, rgl, tcltk, Matrix, cluster, MASS, pbmcapply, optimx, methods, ape, stringr |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-07-23 |
| Author: | Kosuke Hamazaki [aut, cre], Hiroyoshi Iwata [aut, ctb] |
| Maintainer: | Kosuke Hamazaki <hamazaki at ut-biomet.org> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Citation: | RAINBOWR citation info |
| Materials: | README |
| CRAN checks: | RAINBOWR results |
| Reference manual: | RAINBOWR.pdf |
| Vignettes: |
RAINBOWR |
| Package source: | RAINBOWR_0.1.19.tar.gz |
| Windows binaries: | r-devel: RAINBOWR_0.1.19.zip, r-release: RAINBOWR_0.1.19.zip, r-oldrel: RAINBOWR_0.1.19.zip |
| macOS binaries: | r-release: RAINBOWR_0.1.19.tgz, r-oldrel: RAINBOWR_0.1.19.tgz |
| Old sources: | RAINBOWR archive |
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