Package: gJLS2 0.3.1
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>).
Authors:
gJLS2_0.3.1.tar.gz
gJLS2_0.3.1.zip(r-4.5)gJLS2_0.3.1.zip(r-4.4)gJLS2_0.3.1.zip(r-4.3)
gJLS2_0.3.1.tgz(r-4.4-any)gJLS2_0.3.1.tgz(r-4.3-any)
gJLS2_0.3.1.tar.gz(r-4.5-noble)gJLS2_0.3.1.tar.gz(r-4.4-noble)
gJLS2_0.3.1.tgz(r-4.4-emscripten)gJLS2_0.3.1.tgz(r-4.3-emscripten)
gJLS2.pdf |gJLS2.html✨
gJLS2/json (API)
NEWS
# Install 'gJLS2' in R: |
install.packages('gJLS2', repos = c('https://weiakanedeng.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/weiakanedeng/gjls2/issues
Last updated 2 years agofrom:a07b78ca32. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | NOTE | Nov 08 2024 |
R-4.5-linux | NOTE | Nov 08 2024 |
R-4.4-win | NOTE | Nov 08 2024 |
R-4.4-mac | NOTE | Nov 08 2024 |
R-4.3-win | NOTE | Nov 08 2024 |
R-4.3-mac | NOTE | Nov 08 2024 |
Exports:gJLS2gJLS2sleveneRegA_per_SNPleveneRegX_per_SNPleveneTests_per_SNPlocRegscaleReg
Dependencies:latticeMASSMatrixMatrixModelsnlmeplyrquantregRcppSparseMsurvival