Package: gJLS2 Title: A Generalized Joint Location and Scale Framework for Association Testing Version: 0.3.1 Authors@R: c(person(given = "Wei", family = "Deng", role = c("aut", "cre"), email = "dengwq@mcmaster.ca"), person(given = "Lei", family = "Sun", role = c("aut"), email = "lei.sun@utoronto.ca")) Description: An update to the Joint Location-Scale (JLS) testing framework that identifies associated SNPs, gene-sets and pathways with main and/or interaction effects on quantitative traits (Soave et al., 2015; ). The JLS method simultaneously tests the null hypothesis of equal mean and equal variance across genotypes, by aggregating association evidence from the individual location/mean-only and scale/variance-only tests using Fisher's method. The generalized joint location-scale (gJLS) framework has been developed to deal specifically with sample correlation and group uncertainty (Soave and Sun, 2017; ). The current release: gJLS2, include additional functionalities that enable analyses of X-chromosome genotype data through novel methods for location (Chen et al., 2021; ) and scale (Deng et al., 2019; ). License: GPL-3 + file LICENSE Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.1.1 Suggests: knitr, markdown, ggplot2, moments, MASS, MCMCpack VignetteBuilder: knitr Imports: methods, nlme, quantreg, parallel, plyr Depends: R (>= 3.6.0) Repository: https://weiakanedeng.r-universe.dev Date/Publication: 2022-10-07 23:31:10 UTC RemoteUrl: https://github.com/weiakanedeng/gjls2 RemoteRef: HEAD RemoteSha: a07b78ca326debabf6d51978f26f571a772a69b6 NeedsCompilation: no Packaged: 2026-07-14 08:38:52 UTC; root Author: Wei Deng [aut, cre], Lei Sun [aut] Maintainer: Wei Deng