Package: gwrpvr Type: Package Title: Genome-Wide Regression P-Value (Gwrpv) Version: 1.0 Date: 2017-10-13 Authors@R: c( person("Gregory", "Connor", email = "gregory.connor@nuim.ie ", role = c("aut")), person("Michael", "O'Neill", email = "m.oneill@ucd.ie", role = c("trl", "aut", "cre"))) Author: Gregory Connor [aut], Michael O'Neill [trl, aut, cre] Maintainer: Michael O'Neill Description: 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 ). URL: https://doi.org/10.1101/204727 License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 6.0.1 Repository: https://mfjoneill.r-universe.dev Date/Publication: 2021-12-14 18:20:38 UTC RemoteUrl: https://github.com/mfjoneill/gwrpvr RemoteRef: HEAD RemoteSha: b6853a1b5c9863ba7bf2ee5ce5f2aa09150d65de NeedsCompilation: no Packaged: 2026-10-07 11:10:33 UTC; root