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).
- Version0.2.0
- R version≥ 3.6.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release09/30/2021
Documentation
Team
Wei Deng
Lei Sun
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Last 30 days
This package has been downloaded 142 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 2,018 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 23 downloads.
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Dependencies
- Imports7 packages
- Suggests2 packages