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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: | 0.3.4 |
Depends: | R (≥ 3.6.0) |
Imports: | stats, nlme, GLMMadaptive, parallel |
Published: | 2021-07-22 |
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 and https://bwhbioinfo.shinyapps.io/powerEQTL/ |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | MixedModels |
CRAN checks: | powerEQTL results |
Reference manual: | powerEQTL.pdf |
Package source: | powerEQTL_0.3.4.tar.gz |
Windows binaries: | r-devel: powerEQTL_0.3.4.zip, r-release: powerEQTL_0.3.4.zip, r-oldrel: powerEQTL_0.3.4.zip |
macOS binaries: | r-release (arm64): powerEQTL_0.3.4.tgz, r-oldrel (arm64): powerEQTL_0.3.4.tgz, r-release (x86_64): powerEQTL_0.3.4.tgz, r-oldrel (x86_64): powerEQTL_0.3.4.tgz |
Old sources: | powerEQTL archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.