priorityelasticnet: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based
Method
Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization.
This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block.
It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
survival, glmnet, utils, checkmate, shiny, tidyr, dplyr, caret, pROC, PRROC, plotrix, ggplot2, magrittr, tibble, broom, cvms |
| Suggests: |
ipflasso, rlang, knitr, rmarkdown, glmSparseNet |
| Published: |
2025-01-13 |
| DOI: |
10.32614/CRAN.package.priorityelasticnet |
| Author: |
Laila Qadir Musib [aut, cre],
Eunice Carrasquinha [aut],
Helena Mouriño [aut] |
| Maintainer: |
Laila Qadir Musib <statleila98 at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
priorityelasticnet results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=priorityelasticnet
to link to this page.