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; ). 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; ).


Reference manual

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0.2.0 by Wei Deng, 21 days ago

Browse source code at https://github.com/cran/gJLS2

Authors: Wei Deng [aut, cre] , Lei Sun [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports methods, nlme, quantreg, MCMCpack, MASS, plyr, ggplot2, moments

Suggests knitr, markdown

See at CRAN