SPCompute: Compute Power or Sample Size for GWAS with Covariate Effect

Fast computation of the required sample size or the achieved power, for GWAS studies with different types of covariate effects and different types of covariate-gene dependency structure. For the detailed description of the methodology, see Zhang (2022) "Power and Sample Size Computation for Genetic Association Studies of Binary Traits: Accounting for Covariate Effects" <arXiv:2203.15641>.

Version: 1.0.2
Imports: Matrix, stats
Suggests: knitr, rmarkdown, testthat
Published: 2022-09-05
Author: Ziang Zhang, Lei Sun
Maintainer: Ziang Zhang <aguero.zhang at mail.utoronto.ca>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SPCompute results


Reference manual: SPCompute.pdf
Vignettes: SPCompute


Package source: SPCompute_1.0.2.tar.gz
Windows binaries: r-devel: SPCompute_1.0.2.zip, r-release: SPCompute_1.0.2.zip, r-oldrel: SPCompute_1.0.2.zip
macOS binaries: r-release (arm64): SPCompute_1.0.2.tgz, r-oldrel (arm64): SPCompute_1.0.2.tgz, r-release (x86_64): SPCompute_1.0.2.tgz, r-oldrel (x86_64): SPCompute_1.0.2.tgz
Old sources: SPCompute archive


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