[aut, cre],
John Palowitch [aut]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>.
| Version: | 1.6 |
| Depends: | R (≥ 3.3.0), filematrix |
| Imports: | parallel |
| Suggests: | knitr, rmarkdown, pander |
| Published: | 2018-03-06 |
| Author: | Andrey A Shabalin [aut, cre],
John Palowitch [aut] |
| Maintainer: | Andrey A Shabalin <andrey.shabalin at gmail.com> |
| BugReports: | https://github.com/andreyshabalin/ACMEeqtl/issues |
| License: | LGPL-3 |
| URL: | https://github.com/andreyshabalin/ACMEeqtl |
| NeedsCompilation: | yes |
| Citation: | ACMEeqtl citation info |
| CRAN checks: | ACMEeqtl results |
| Reference manual: | ACMEeqtl.pdf |
| Vignettes: |
ACMEeqtl Overview Vignette |
| Package source: | ACMEeqtl_1.6.tar.gz |
| Windows binaries: | r-devel: ACMEeqtl_1.6.zip, r-release: ACMEeqtl_1.6.zip, r-oldrel: ACMEeqtl_1.6.zip |
| OS X binaries: | r-release: ACMEeqtl_1.6.tgz, r-oldrel: ACMEeqtl_1.6.tgz |
| Old sources: | ACMEeqtl archive |
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