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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" <doi:10.48550/arXiv.2203.15641>.
| Version: | 1.0.3 |
| Imports: | Matrix, stats |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2023-01-24 |
| 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_1.0.3.tar.gz |
| Windows binaries: | r-devel: SPCompute_1.0.3.zip, r-release: SPCompute_1.0.3.zip, r-oldrel: SPCompute_1.0.3.zip |
| macOS binaries: | r-release (arm64): SPCompute_1.0.3.tgz, r-oldrel (arm64): SPCompute_1.0.3.tgz, r-release (x86_64): SPCompute_1.0.3.tgz, r-oldrel (x86_64): SPCompute_1.0.3.tgz |
| Old sources: | SPCompute 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.
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