| sharp-package | sharp: Stability-enHanced Approaches using Resampling Procedures |
| Adjacency | Calibrated adjacency matrix |
| AggregatedEffects | Summarised coefficients conditionally on selection |
| Argmax | Calibrated parameters |
| ArgmaxId | Calibrated parameter indices |
| BiSelection | Stability selection of predictors and/or outcomes |
| BlockDiagonal | Block diagonal matrix |
| BlockLambdaGrid | Multi-block grid |
| BlockMatrix | Block matrix |
| BlockStructure | Block structure |
| CalibrationPlot | Calibration plot |
| Combine | Merging stability selection outputs |
| Contrast | Matrix contrast |
| ExplanatoryPerformance | Prediction performance in regression |
| FDP | False Discovery Proportion |
| Folds | Splitting observations into folds |
| Graph | Graph visualisation |
| GraphComparison | Edge-wise comparison of two graphs |
| GraphicalAlgo | Graphical model algorithm |
| GraphicalModel | Stability selection graphical model |
| GroupPLS | Group Partial Least Squares |
| Heatmap | Heatmap visualisation |
| Incremental | Incremental prediction performance in regression |
| LambdaGridGraphical | Grid of penalty parameters (graphical model) |
| LambdaGridRegression | Grid of penalty parameters (regression model) |
| LambdaSequence | Sequence of penalty parameters |
| MakePositiveDefinite | Making positive definite |
| MatchingArguments | Matching arguments |
| PenalisedGraphical | Graphical LASSO |
| PenalisedRegression | Penalised regression |
| PFER | Per Family Error Rate |
| PlotIncremental | Visualisation of incremental performance |
| PlotROC | Receiver Operating Characteristic (ROC) curve |
| PLS | Partial Least Squares 'a la carte' |
| PredictPLS | Partial Least Squares predictions |
| Recalibrate | Regression model recalibration |
| Resample | Resampling observations |
| ROC | Receiver Operating Characteristic (ROC) |
| SelectedVariables | Stably selected variables |
| SelectionAlgo | Variable selection algorithm |
| SelectionPerformance | Selection performance |
| SelectionPerformanceGraph | Graph representation of selection performance |
| SelectionProportions | Selection proportions |
| SimulateAdjacency | Simulation of an undirected graph with block structure |
| SimulateComponents | Simulation of sparse orthogonal components |
| SimulateGraphical | Simulation of data with underlying graph structure |
| SimulatePrecision | Simulation of a precision matrix |
| SimulateRegression | Simulation of predictors and associated outcome |
| SparseGroupPLS | Sparse group Partial Least Squares |
| SparsePCA | Sparse Principal Component Analysis |
| SparsePLS | Sparse Partial Least Squares |
| Split | Splitting observations into non-overlapping sets |
| Square | Adjacency from bipartite |
| StabilityMetrics | Stability selection metrics |
| StabilityScore | Stability score |
| VariableSelection | Stability selection in regression |