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SMAHP: Survival Mediation Analysis of High-Dimensional Proteogenomic
Data
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 |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.