'NetSurvProx': Network-Based Survival Analysis via Proximal Methods
Overview
Introduces a novel network-constrained survival analysis framework for variable selection and parameter estimation in penalized survival models with convex penalties. The package extends two classical survival models, the Cox Proportional Hazards (PH) model and the Accelerated Failure Time (AFT) model, by incorporating prior biological knowledge from curated interaction networks (e.g., KEGG) into a double-penalty framework. The first penalty enforces variable selection through a LASSO penalty, while the second preserves gene-gene correlations by incorporating Laplacian-based constraints, ensuring that biologically relevant network structures are maintained. Using censored survival data, the method enables the identification of predictive biomarkers and pathways with potential relevance for target therapies. Model estimation is performed via proximal optimization algorithms combined with cross-validation for reliable tuning. To enhance interpretability, dedicated utility functions are implemented to consolidate results, yielding biologically coherent insights that can support personalized medicine and contribute to improved patient outcomes.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-27
- ERROR12 OK, 1 ERROR2026-06-21
- OK2 OK2026-06-09
Documentation
- Help pages
- 17
- Examples that run
- 20%1 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 31%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing NetSurvProx adds 141 packages (78 with compiled code, 127 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
- 1.0.0Latest2026-06-09 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-09
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.3
- Bundled data
- 367 KB / 1 file
- Download size
- 1.0 MB
Cite
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