Type: Package
Package: SPCompute
Title: Compute Power or Sample Size for GWAS with Covariate Effect
Version: 1.0.3
Author: Ziang Zhang, Lei Sun
Maintainer: Ziang Zhang <aguero.zhang@mail.utoronto.ca>
Description: 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>.
License: GPL (>= 3)
Imports: Matrix, stats
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.1
Repository: https://aguerozz.r-universe.dev
Date/Publication: 2023-01-24 17:19:09 UTC
RemoteUrl: https://github.com/aguerozz/spcompute
RemoteRef: HEAD
RemoteSha: 25648f47a3a1fb226f257455ab3bb345af1a5c75
NeedsCompilation: no
Packaged: 2026-09-17 08:00:50 UTC; root