Package: SPCompute 1.0.3
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>.
Authors:
SPCompute_1.0.3.tar.gz
SPCompute_1.0.3.zip(r-4.5)SPCompute_1.0.3.zip(r-4.4)SPCompute_1.0.3.zip(r-4.3)
SPCompute_1.0.3.tgz(r-4.4-any)SPCompute_1.0.3.tgz(r-4.3-any)
SPCompute_1.0.3.tar.gz(r-4.5-noble)SPCompute_1.0.3.tar.gz(r-4.4-noble)
SPCompute_1.0.3.tgz(r-4.4-emscripten)SPCompute_1.0.3.tgz(r-4.3-emscripten)
SPCompute.pdf |SPCompute.html✨
SPCompute/json (API)
NEWS
| # Install 'SPCompute' in R: |
| install.packages('SPCompute', repos = c('https://aguerozz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aguerozz/spcompute/issues
Last updated 2 years agofrom:25648f47a3. Checks:OK: 6 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | NOTE | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:check_parametersCompute_PowerCompute_Power_multiCompute_SizeCompute_Size_multiconvert_preva_to_intercept
