Section 1: Compute power/sample size for binary traits | Section 2: Compute power/sample size for continuous traits | Section 3: Power/Sample Size Computation with Multiple Covariates
Package: SPCompute 1.0.3
Ziang Zhang
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-4.7-any)SPCompute_1.0.3.zip(r-4.6-any)SPCompute_1.0.3.zip(r-4.5-any)
SPCompute_1.0.3.tgz(r-4.6-any)SPCompute_1.0.3.tgz(r-4.5-any)
SPCompute_1.0.3.tar.gz(r-4.7-any)SPCompute_1.0.3.tar.gz(r-4.6-any)
SPCompute_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SPCompute/json (API)
| # 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 from:25648f47a3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 147 | ||
| source / vignettes | OK | 194 | ||
| linux-release | OK | 146 | ||
| macos-release | OK | 130 | ||
| macos-oldrel | OK | 127 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 95 | ||
| windows-oldrel | OK | 113 | ||
| wasm-release | OK | 115 |
Exports:check_parametersCompute_PowerCompute_Power_multiCompute_SizeCompute_Size_multiconvert_preva_to_intercept
