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:
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