gwrpvr
Genome-Wide Regression P-Value (Gwrpv)
Computes the sample probability value (p-value) for the estimated coefficient from a standard genome-wide univariate regression. It computes the exact finite-sample p-value under the assumption that the measured phenotype (the dependent variable in the regression) has a known Bernoulli-normal mixture distribution. Finite-sample genome-wide regression p-values (Gwrpv) with a non-normally distributed phenotype (Gregory Connor and Michael O'Neill, bioRxiv 204727 <doi:10.1101/204727>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | gwrpvr_1.0.tar.gz |
8.9 KiB |
1.0 |
rolling linux/jammy R-4.5 | gwrpvr_1.0.tar.gz |
46.0 KiB |
1.0 |
rolling linux/noble R-4.5 | gwrpvr_1.0.tar.gz |
46.0 KiB |
1.0 |
latest source/ R- | gwrpvr_1.0.tar.gz |
8.9 KiB |
1.0 |
latest linux/jammy R-4.5 | gwrpvr_1.0.tar.gz |
46.0 KiB |
1.0 |
latest linux/noble R-4.5 | gwrpvr_1.0.tar.gz |
46.0 KiB |
1.0 |
2026-04-23 source/ R- | gwrpvr_1.0.tar.gz |
8.9 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | gwrpvr_1.0.zip |
49.2 KiB |
1.0 |
2025-04-20 source/ R- | gwrpvr_1.0.tar.gz |
8.9 KiB |