sharp version 1.3.0

• Added new functions for consensus clustering including Clustering(), Clusters(), ConsensusMatrix(), ClusteringPerformance() and more
• Added new print(), plot() and summary() functions
• Updated plotting functions
• Fixed parallelisation using argument n_cores in main functions
• Remove duplicated messages in ExplanatoryPerformance()
• Allow for factor ydata in VariableSelection() and related functions

sharp version 1.2.1

• Updated examples for use with fake 1.3.0
• Fixed requirements on input data format in Refitting()
• Added resampling argument in Explanatory()
• Added optional beep at the end of the run in main functions
• Increased igraph vertex size in Graph() and plot()

sharp version 1.2.0

• Added the functions Ensemble() and EnsemblePredictions() to build and predict from an ensemble model for VariableSelection()
• Added S3 classes including coef() and predict() for VariableSelection()
• Renamed Recalibrate() as Refit()
• Fixed use of CPSS in GraphicalModel()
• Fixed maximisation of the contrast
• Simulation functions now added to the companion R package fake

sharp version 1.1.0

First release of stability selection methods and simulation models.