Package: gJLS2
Title: A Generalized Joint Location and Scale Framework for Association
        Testing
Version: 0.2.0
Authors@R: 
    c(person(given = "Wei",
           family = "Deng",
           role = c("aut", "cre"),
           email = "deng@utstat.toronto.edu"),
     person(given = "Lei",
           family = "Sun",
           role = c("aut"),
           email = "sun@utstat.toronto.edu"))          
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; <doi:10.1016/j.ajhg.2015.05.015>). 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; <doi:10.1111/biom.12651>). The current release: gJLS2, include additional functionalities that enable analyses of X-chromosome genotype data through novel methods for location (Chen et al., 2021; <doi:10.1002/gepi.22422>) and scale (Deng et al., 2019; <doi:10.1002/gepi.22247>).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, markdown
VignetteBuilder: knitr
Imports: methods, nlme, quantreg, MCMCpack, MASS, plyr, ggplot2,
        moments
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2021-09-29 16:03:28 UTC; weideng
Author: Wei Deng [aut, cre],
  Lei Sun [aut]
Maintainer: Wei Deng <deng@utstat.toronto.edu>
Repository: CRAN
Date/Publication: 2021-09-30 09:00:05 UTC
Built: R 4.6.0; ; 2026-04-26 07:47:00 UTC; unix
