R: Computation of Node and Path-Level Risk Scores in Scientific Models

# Computation of Node and Path-Level Risk Scores in Scientific Models

## Documentation for package ‘softwareRisk’ version 0.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

all_paths_fun | Enumerate entry-to-sink call paths and compute risk metrics at the node and path level
call_graph_fun | Build a call graph from an R package or a directory of R scripts
fix_portfolio_fun | Greedy selection of the most risk-reducing node fixes
gini_index_fun | Compute the Gini index of a numeric vector
node_exposure_fun | Path-aware node criticality (risk load)
path_fix_heatmap | Path-level improvement from fixing high-risk nodes
path_uncertainty_plot | Plot path-level uncertainty for the top-risk paths
plot_top_paths_fun | Plot the top risky call paths on a Sugiyama layout
rank_robustness_fun | Robustness of the risk ranking under uncertainty
rank_robustness_plot | Plot the robustness of the risk ranking
read_call_graph | Import a call graph from edge-list and complexity tables
sensitivity_plot_fun | Plot Sobol' sensitivity indices of the node risk scores
slope_fun | Compute the linear slope of a numeric sequence
synthetic_graph | Synthetic citation graph for software risk examples
theme_AP | A clean, publication-oriented ggplot2 theme
uncertainty_fun | Uncertainty and sensitivity analysis of node and path risk