shiftR: Fast Enrichment Analysis via Circular Permutations
Fast enrichment analysis for locally correlated statistics via circular permutations. The analysis can be performed at multiple significance thresholds for both primary and auxiliary data sets with efficient correction for multiple testing.
| Version: | 1.5 |
| Imports: | parallel |
| Suggests: | knitr,rmarkdown,pander |
| Published: | 2019-03-22 |
| DOI: | 10.32614/CRAN.package.shiftR |
| Author: | Andrey A Shabalin [aut, cre], Edwin J C G van den Oord [aut] |
| Maintainer: | Andrey A Shabalin <andrey.shabalin at gmail.com> |
| BugReports: | https://github.com/andreyshabalin/shiftR/issues |
| License: | LGPL-3 |
| URL: | https://github.com/andreyshabalin/shiftR |
| NeedsCompilation: | yes |
| CRAN checks: | shiftR results |
Documentation:
| Reference manual: | shiftR.html ,shiftR.pdf |
| Vignettes: | Overview of shiftR package (source,R code) |
Downloads:
| Package source: | shiftR_1.5.tar.gz |
| Windows binaries: | r-devel:shiftR_1.5.zip, r-release:shiftR_1.5.zip, r-oldrel:shiftR_1.5.zip |
| macOS binaries: | r-release (arm64):shiftR_1.5.tgz, r-oldrel (arm64):shiftR_1.5.tgz, r-release (x86_64):shiftR_1.5.tgz, r-oldrel (x86_64):shiftR_1.5.tgz |
| Old sources: | shiftR archive |
Linking:
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