Presence-only model with Elastic Net penalty is a regularized generalized linear model training on the presence-absence response. This package provides functions for tuning and fitting the presence-only model. The presence-only model can be used to predict regulatory effects of genetic variants at sequence-level resolution by integrating a large number of epigenetic features and massively parallel reporter assays (MPRAs).
| Version: | 1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp, PUlasso, glmnet, pROC |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-08-19 |
| Author: | Zikun Yang [aut, cre, cph], Chen Wang [ctb], Iuliana Ionita-Laza [aut, ctb] |
| Maintainer: | Zikun Yang <yangzikun1125 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | PO.EN results |
| Reference manual: | PO.EN.pdf |
| Package source: | PO.EN_1.0.tar.gz |
| Windows binaries: | r-devel: PO.EN_1.0.zip, r-release: PO.EN_1.0.zip, r-oldrel: PO.EN_1.0.zip |
| macOS binaries: | r-release: PO.EN_1.0.tgz, r-oldrel: PO.EN_1.0.tgz |
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