# Stability-enHanced Approaches using Resampling Procedures

## Documentation for package ‘sharp’ version 1.3.0

- DESCRIPTION file.

## Help Pages

sharp-package | sharp: Stability-enHanced Approaches using Resampling Procedures
Adjacency | Stable results
AggregatedEffects | Summarised coefficients conditionally on selection
Argmax | Calibrated hyper-parameter(s)
ArgmaxId | Calibrated hyper-parameter(s)
BiSelection | Stability selection of predictors and/or outcomes
BlockLambdaGrid | Multi-block grid
CalibrationPlot | Calibration plot
Clustering | Consensus clustering
ClusteringAlgo | (Weighted) clustering algorithm
ClusteringPerformance | Clustering performance
Clusters | Stable results
Combine | Merging stability selection outputs
CoMembership | Pairwise co-membership
ConsensusMatrix | Selection/co-membership proportions
ConsensusScore | Consensus score
DBSCANClustering | (Weighted) density-based clustering
Ensemble | Ensemble model
EnsemblePredictions | Predictions from ensemble model
ExplanatoryPerformance | Prediction performance in regression
FDP | False Discovery Proportion
Folds | Splitting observations into folds
GMMClustering | Model-based clustering
Graph | Graph visualisation
GraphComparison | Edge-wise comparison of two graphs
GraphicalAlgo | Graphical model algorithm
GraphicalModel | Stability selection graphical model
GroupPLS | Group Partial Least Squares
HierarchicalClustering | (Weighted) hierarchical clustering
Incremental | Incremental prediction performance in regression
IncrementalPlot | Plot of incremental performance
KMeansClustering | K-means clustering
LambdaGridGraphical | Grid of penalty parameters (graphical model)
LambdaGridRegression | Grid of penalty parameters (regression model)
LambdaSequence | Sequence of penalty parameters
PAMClustering | (Weighted) Partitioning Around Medoids
PenalisedGraphical | Graphical LASSO
PenalisedRegression | Penalised regression
PFER | Per Family Error Rate
plot.clustering | Consensus matrix heatmap
plot.incremental | Plot of incremental performance
plot.roc_band | Receiver Operating Characteristic (ROC) band
plot.variable_selection | Plot of selection proportions
PlotIncremental | Plot of incremental performance
PLS | Partial Least Squares 'a la carte'
predict.variable_selection | Predict method for stability selection
PredictPLS | Partial Least Squares predictions
Recalibrate | Regression model refitting
Refit | Regression model refitting
Resample | Resampling observations
SelectedVariables | Stable results
SelectionAlgo | Variable selection algorithm
SelectionPerformance | Selection performance
SelectionPerformanceGraph | Graph representation of selection performance
SelectionProportions | Selection/co-membership proportions
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
Stable | Stable results
VariableSelection | Stability selection in regression
WeightBoxplot | Stable attribute weights