The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

gJLS2: A Generalized Joint Location and Scale Framework for Association Testing

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>).

Version: 0.2.0
Depends: R (≥ 3.6.0)
Imports: methods, nlme, quantreg, MCMCpack, MASS, plyr, ggplot2, moments
Suggests: knitr, markdown
Published: 2021-09-30
DOI: 10.32614/CRAN.package.gJLS2
Author: Wei Deng [aut, cre], Lei Sun [aut]
Maintainer: Wei Deng <deng at utstat.toronto.edu>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: gJLS2 results

Documentation:

Reference manual: gJLS2.pdf
Vignettes: Introduction

Downloads:

Package source: gJLS2_0.2.0.tar.gz
Windows binaries: r-devel: gJLS2_0.2.0.zip, r-release: gJLS2_0.2.0.zip, r-oldrel: gJLS2_0.2.0.zip
macOS binaries: r-release (arm64): gJLS2_0.2.0.tgz, r-oldrel (arm64): gJLS2_0.2.0.tgz, r-release (x86_64): gJLS2_0.2.0.tgz, r-oldrel (x86_64): gJLS2_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gJLS2 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.