ACMEeqtl: Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model

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) <doi:10.1111/biom.12810>.

Package details

AuthorAndrey A Shabalin [aut, cre] (<https://orcid.org/0000-0003-0309-6821>), John Palowitch [aut] (<https://orcid.org/0000-0002-1419-3056>)
MaintainerAndrey A Shabalin <[email protected]>
LicenseLGPL-3
Version1.6
URL https://github.com/andreyshabalin/ACMEeqtl
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ACMEeqtl")

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ACMEeqtl documentation built on March 18, 2018, 2:31 p.m.