SMAHP: Survival Mediation Analysis of High-Dimensional ProteogenomicData
SMAHP (pronounced as SOO-MAP) is a novel multi-omics framework for causal mediation analysis of high-dimensional proteogenomic data with survival outcomes. The full methodological details can be found in our recent preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2503.08606>.
| Version: | 0.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table,fdrtool,ncvreg,penAFT,survival, stats,glmnet |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-03-24 |
| DOI: | 10.32614/CRAN.package.SMAHP |
| Author: | Seungjun Ahn [aut], Weijia Fu [cre, aut], Zhigang Li [ctb] |
| Maintainer: | Weijia Fu <weijia.fu at mountsinai.org> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| CRAN checks: | SMAHP results |
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