Stability-enHanced Approaches using Resampling Procedures

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Documentation for package ‘sharp’ version 1.4.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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
CART	Classification And Regression Trees
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	(Sparse) K-means clustering
LambdaGridGraphical	Grid of penalty parameters (graphical model)
LambdaGridRegression	Grid of penalty parameters (regression model)
LambdaSequence	Sequence of penalty parameters
LinearSystemMatrix	Matrix from linear system outputs
OpenMxMatrix	Matrix from OpenMx outputs
OpenMxModel	Writing OpenMx model (matrix specification)
PAMClustering	(Weighted) Partitioning Around Medoids
PenalisedGraphical	Graphical LASSO
PenalisedLinearSystem	Penalised Structural Equation Model
PenalisedOpenMx	Penalised Structural Equation Model
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
StructuralModel	Stability selection in Structural Equation Modelling
VariableSelection	Stability selection in regression
WeightBoxplot	Stable attribute weights