Package: SMAHP 0.0.5

Weijia Fu
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>.
Authors:
SMAHP_0.0.5.tar.gz
SMAHP_0.0.5.tar.gz(r-4.5-noble)SMAHP_0.0.5.tar.gz(r-4.4-noble)
SMAHP_0.0.5.tgz(r-4.4-emscripten)SMAHP_0.0.5.tgz(r-4.3-emscripten)
SMAHP.pdf |SMAHP.html✨
SMAHP/json (API)
# Install 'SMAHP' in R: |
install.packages('SMAHP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- example_dat - Example Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 hours agofrom:92baeb3971. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 24 2025 |
R-4.5-linux | OK | Mar 24 2025 |
R-4.4-linux | OK | Mar 24 2025 |
Exports:get_adjusted_pget_coefget_pairsget_raw_pget_sig_pathwaySIS_comboSMAHPStepOneStepThreeStepTwo
Dependencies:clicodetoolscolorspacedata.tablefansifarverfdrtoolforeachggplot2glmnetgluegtableirlbaisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellncvregnlmepenAFTpillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Example Dataset | example_dat |
A function that returns adjusted p-values | get_adjusted_p |
A function that extracts coefficients. | get_coef |
A function that returns mediation-exposure matrix | get_pairs |
A function that returns unadjusted p-values | get_raw_p |
A function that returns significant pathways. | get_sig_pathway |
SIS combo | SIS_combo |
Main function | SMAHP |
Penalized mediation and outcome models | StepOne |
Post-hoc model | StepThree |
Select M-X pairs via SIS | StepTwo |