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powerEQTL: Power and Sample Size Calculation for Bulk Tissue and Single-Cell eQTL Analysis

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
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

Documentation:

Reference manual: powerEQTL.pdf

Downloads:

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

Linking:

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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.
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