Power and sample size calculation for bulk tissue and single-cell eQTL analysis based on ANOVA, simple linear regression, or linear mixed effects model. It can also calculate power/sample size for testing the association of a SNP to a continuous type phenotype. Please see the reference: Dong X, Li X, Chang T-W, Scherzer CR, Weiss ST, Qiu W. (2021) <doi:10.1093/bioinformatics/btab385>.
| Version: | 0.3.6 |
| Depends: | R (≥ 4.3.0) |
| Imports: | stats, nlme, GLMMadaptive, parallel |
| Published: | 2025-05-20 |
| DOI: | 10.32614/CRAN.package.powerEQTL |
| Author: | Xianjun Dong [aut, ctb], Xiaoqi Li [aut, ctb], Tzuu-Wang Chang [aut, ctb], Scott T. Weiss [aut, ctb], Weiliang Qiu [aut, cre] |
| Maintainer: | Weiliang Qiu <weiliang.qiu at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/sterding/powerEQTL, https://bwhbioinfo.shinyapps.io/powerEQTL/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MixedModels |
| CRAN checks: | powerEQTL results |
| Reference manual: | powerEQTL.html , powerEQTL.pdf |
| Package source: | powerEQTL_0.3.6.tar.gz |
| Windows binaries: | r-devel: powerEQTL_0.3.6.zip, r-release: powerEQTL_0.3.6.zip, r-oldrel: powerEQTL_0.3.6.zip |
| macOS binaries: | r-release (arm64): powerEQTL_0.3.6.tgz, r-oldrel (arm64): powerEQTL_0.3.6.tgz, r-release (x86_64): powerEQTL_0.3.6.tgz, r-oldrel (x86_64): powerEQTL_0.3.6.tgz |
| Old sources: | powerEQTL archive |
| Reverse suggests: | gaawr2 |
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