R: 'NetSurvProx': Network-Based Survival Analysis via Proximal Methods

# 'NetSurvProx': Network-Based Survival Analysis via Proximal Methods

## Documentation for package ‘NetSurvProx’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

CreateNetwork | Laplacian Matrix for Prior Biological Knowledge in Network Constraint
CvNet | Cross-validated Linear Predictors Approach for 'COXNet' and 'AFTNet'
Enrichment | Pathway Enrichment (Over-representation Analysis)
LUADdataset | Example Dataset for Network-Based Survival Analysis
Metrics | Performance Metrics for Survival Models
NetSurvProx | NetSurvProx Complete Routine
NetSurvProx_Testing | NetSurvProx Testing Routine
NetSurvProx_Training | NetSurvProx Training Routine
OptimalPICutoff | Optimal Cutoff for Prognostic Index on Training Set
PathwayDashboard | Interactive Pathway Analysis Dashboard
PlotCvNet | Plot CV-LP Curve for 'COXNet' and 'AFTNet'
ProxGDNet | Proximal Gradient Descent for 'COXNet' and 'AFTNet'
RepositoryDisease | Disease-Specific Gene Repository from HumanBase
RepositoryTissue | Tissue-Specific Top Edge Network from HumanBase
Simulations | Simulate Transcription Factor (TF) Target Gene Networks with Survival Outcomes
ValidationPI | Prognostic Index Validation on Testing Set
VariableScreening | Variables Screening Methods Based on Prior Knowledge and Marginal Utility