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 ORCID iD [aut], Weijia Fu ORCID iD [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:

Reference manual: SMAHP.pdf
Vignettes: SMAHP (source, R code)

Downloads:

Package source: SMAHP_0.0.5.tar.gz
Windows binaries: r-devel: SMAHP_0.0.5.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): SMAHP_0.0.5.tgz, r-release (arm64): SMAHP_0.0.5.tgz, r-oldrel (arm64): SMAHP_0.0.5.tgz, r-devel (x86_64): SMAHP_0.0.5.tgz, r-release (x86_64): SMAHP_0.0.5.tgz, r-oldrel (x86_64): SMAHP_0.0.5.tgz

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