Learn R Programming

SMAHP (version 0.0.5)

Survival Mediation Analysis of High-Dimensional Proteogenomic Data

Description

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) .

Copy Link

Version

Install

install.packages('SMAHP')

Monthly Downloads

206

Version

0.0.5

License

GPL-3

Maintainer

Weijia Fu

Last Published

March 24th, 2025

Functions in SMAHP (0.0.5)

get_sig_pathway

A function that returns significant pathways.
StepOne

Penalized mediation and outcome models
get_adjusted_p

A function that returns adjusted p-values
get_pairs

A function that returns mediation-exposure matrix
SIS_combo

SIS combo
SMAHP

Main function
get_raw_p

A function that returns unadjusted p-values
get_coef

A function that extracts coefficients.
StepThree

Post-hoc model
example_dat

Example Dataset
StepTwo

Select M-X pairs via SIS