RAINBOWR
Genome-Wide Association Study with SNP-Set Methods
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.38 |
rolling linux/jammy R-4.5 | RAINBOWR_0.1.38.tar.gz |
1.4 MiB |
0.1.38 |
rolling linux/noble R-4.5 | RAINBOWR_0.1.38.tar.gz |
1.4 MiB |
0.1.38 |
rolling source/ R- | RAINBOWR_0.1.38.tar.gz |
459.9 KiB |
0.1.38 |
latest linux/jammy R-4.5 | RAINBOWR_0.1.38.tar.gz |
1.4 MiB |
0.1.38 |
latest linux/noble R-4.5 | RAINBOWR_0.1.38.tar.gz |
1.4 MiB |
0.1.38 |
latest source/ R- | RAINBOWR_0.1.38.tar.gz |
459.9 KiB |
0.1.38 |
2026-04-26 source/ R- | RAINBOWR_0.1.38.tar.gz |
459.9 KiB |
0.1.38 |
2026-04-23 source/ R- | RAINBOWR_0.1.38.tar.gz |
459.9 KiB |
0.1.38 |
2026-04-09 windows/windows R-4.5 | RAINBOWR_0.1.38.zip |
1.7 MiB |
0.1.35 |
2025-04-20 source/ R- | RAINBOWR_0.1.35.tar.gz |
456.2 KiB |