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:

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: SMAHP_0.0.5.zip, r-oldrel: SMAHP_0.0.5.zip
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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