KarimOualkacha/SPAC: A flexible copula-based approach for the analysis of secondary phenotypes in ascertained samples
This is a unified copula-based framework which tests for secondary phenotypes association and a single SNP in presence of selection bias. The method fits both retrospective and prosepctive likelihoods to handel selection bias under case-contro (CC), extreme-trait (ET) and mulitple-trait (MT) sampling designs. The dependence between primary and secondary phenotypes is modelled via copulas. Thus, SPAC is a robust method for non-normality assumptiom of the secondary trait.
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Package details |
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| Author | Karim Oualkacha [aut, cre], Geneviève Lefebvre [aut], Fodé Tounkara [aut], Celia M.T. Greenwood [aut] |
| Maintainer | Karim Oualkacha <oualkacha.karim@uqam.ca> |
| License | GPL (>=3) |
| Version | 0.0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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