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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/noble R-4.5 | SPCompute_1.0.3.tar.gz |
361.0 KiB |
1.0.3 |
rolling source/ R- | SPCompute_1.0.3.tar.gz |
41.6 KiB |
1.0.3 |
rolling linux/jammy R-4.5 | SPCompute_1.0.3.tar.gz |
361.1 KiB |
1.0.3 |
latest linux/jammy R-4.5 | SPCompute_1.0.3.tar.gz |
361.1 KiB |
1.0.3 |
latest linux/noble R-4.5 | SPCompute_1.0.3.tar.gz |
361.0 KiB |
1.0.3 |
latest source/ R- | SPCompute_1.0.3.tar.gz |
41.6 KiB |
1.0.3 |
2026-04-26 source/ R- | SPCompute_1.0.3.tar.gz |
41.6 KiB |
1.0.3 |
2026-04-23 source/ R- | SPCompute_1.0.3.tar.gz |
41.6 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | SPCompute_1.0.3.zip |
365.3 KiB |
1.0.3 |
2025-04-20 source/ R- | SPCompute_1.0.3.tar.gz |
41.6 KiB |