ACMEeqtl (1.6)

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Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model.

https://github.com/andreyshabalin/ACMEeqtl
http://cran.r-project.org/web/packages/ACMEeqtl

We use a non-linear model, termed ACME, that reflects a parsimonious biological model for allelic contributions of cis-acting eQTLs. With non-linear least-squares algorithm we estimate maximum likelihood parameters. The ACME model provides interpretable effect size estimates and p-values with well controlled Type-I error. Includes both R and (much faster) C implementations. For more details see Palowitch et al. (2017) .

Maintainer: Andrey A Shabalin
Author(s): Andrey A Shabalin [aut, cre] (<https://orcid.org/0000-0003-0309-6821>), John Palowitch [aut] (<https://orcid.org/0000-0002-1419-3056>)

License: LGPL-3

Uses: filematrix, knitr, pander, rmarkdown

Released 10 months ago.


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