Changes in version 1.4.8 (2025-07-23)                  

  - Update glmnet

                 Changes in version 1.4.7 (2025-04-11)                  

  - Add reference to the publication in the Journal of Statistical
    Software

                 Changes in version 1.4.6 (2024-02-03)                  

  - Update the vignette

                 Changes in version 1.4.5 (2024-01-22)                  

  - Allow for alternative optimisation methods implemented in nloptr
  - Update parallelisation, now using the future package
  - Fix the formatting of continuous outcome in VariableSelection()
  - Update the vignette

                 Changes in version 1.4.4 (2023-10-21)                  

  - Update references with published articles

                 Changes in version 1.4.3 (2023-08-27)                  

  - Add sparse K means from the R package sparcl
  - Allow for missing values in proportions for more flexibility

                 Changes in version 1.4.2 (2023-06-09)                  

  - Remove functions depending on regsem (removed from CRAN)
  - Fix the use of packages in Suggests in the examples

                 Changes in version 1.4.1 (2023-05-31)                  

  - Add package vignette
  - Use Ridge regression calibrated by cross validation instead of
    unpenalised regression in Refit(), ExplanatoryPerformance() and
    Incremental()
  - Add new S3 class structural_model
  - Fix inclusion of unpenalised predictors in Incremental()
  - Fix clustering of rows in Clustering()

                 Changes in version 1.4.0 (2023-04-18)                  

  - Update the stability score used by default (n_cat=NULL), previous
    score can be used with n_cat=3
  - Add new functions for structural equation modelling including
    StructuralModel(), PenalisedSEM(), PenalisedOpenMx(),
    PenalisedLinearSystem(), LavaanModel(), LavaanMatrix(),
    OpenMxModel(), OpenMxMatrix() and LinearSystemMatrix()
  - Add new function CART() for classification and regression trees
  - Add the option to run randomised or adaptive lasso in
    PenalisedRegression()
  - Fix a bug when running multinomial lasso with predictors with null
    variance in the subsamples
  - Fix a bug where additional parameters in ... were used in
    glm.control() within Refit()

                 Changes in version 1.3.0 (2023-01-17)                  

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

                 Changes in version 1.2.1 (2022-12-09)                  

  - Update examples for use with fake 1.3.0
  - Fix requirements on input data format in Refitting()
  - Add resampling argument in Explanatory()
  - Add optional beep at the end of the run in main functions
  - Increase igraph vertex size in Graph() and plot()

                 Changes in version 1.2.0 (2022-08-15)                  

  - Add the functions Ensemble() and EnsemblePredictions() to build and
    predict from an ensemble model for VariableSelection()
  - Add S3 classes including coef() and predict() for
    VariableSelection()
  - Rename Recalibrate() as Refit()
  - Fix use of CPSS in GraphicalModel()
  - Fix maximisation of the contrast
  - Add simulation functions to the companion R package fake

                 Changes in version 1.1.0 (2022-06-17)                  

First release of stability selection methods and simulation models.