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 |