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gJLS2
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Download and install gJLS2 package within the R console
Install from CRAN:
install.packages("gJLS2")
Install from Github:
library("remotes")
install_github("cran/gJLS2")
Install by package version:
library("remotes")
install_version("gJLS2", "0.2.0")
Attach the package and use:
library("gJLS2")
Maintained by
Wei Deng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-30
Latest Update: 2021-09-30
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; ). 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; ).
How to cite:
Wei Deng (2021). gJLS2: A Generalized Joint Location and Scale Framework for Association Testing. R package version 0.2.0, https://cran.r-project.org/web/packages/gJLS2. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for gJLS2
Functions, R codes and Examples using
the gJLS2 R package
Some associated functions: chrXdat . gJLS2 . gJLS2s . leveneRegA_per_SNP . leveneRegX_per_SNP . leveneTests_per_SNP . locReg . scaleReg .
Some associated R codes: LeveneReg22.R . LeveneRegX.R . LeveneTest.R . LocationTest.R . ScaleTest.R . chrXdat.R . gJLS.R . gJLSs.R . helperFunctions.R . Full gJLS2 package functions and examples
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