Changes in version 2.0.1.9000                      

                 Changes in version 2.0.1 (2026-01-17)                  

Minor improvements and fixes

  - The tests of the visualization functions do not error anymore. They
    were broken by a ggplot2 update

                 Changes in version 2.0.0 (2024-08-17)                  

Breaking changes

  - The default value of the algorithm argument in adproclus() has been
    changed to ALS2 from ALS1. This is because the ALS2 algorithm often
    is less time-consuming with similar performance.

New features

  - New model selection tools for full dimensional ADPROCLUS and low
    dimensional ADPROCLUS. mselect_adproclus() and
    mselect_adproclus_low_dim() to estimate a range of models.

  - New functions to plot the results of the model selection tools.
    plot_scree_adpc() and plot_scree_adpc_preselected().

  - Automatic model selection with select_by_CHull().

  - Compute cluster means on arbitrary data with cluster_means().

Minor improvements and fixes

  - Characteristics of the baseline cluster Cl0 are now also included in
    the summary output.

  - Documentation of plot_vars_by_comp() now includes the correct
    argument vars_by_comp instead of VarsByComp.

  - Give control over the number of decimal places to be displayed in
    the summary output with the digits argument in summary.adproclus()
    and cluster_means().

  - Allow partial matches of arguments for plot choice in plot().

  - Remove unnecessary arguments passed to the plotting functions
    internally to give user the flexibility to supply them via ....

  - Correct description of the iterations argument in adproclus() and
    adproclus_low_dim().

  - Set default title of plots to NULL.

                 Changes in version 1.0.2 (2023-11-09)                  

  - Using plot_cluster_network() now also works when clusters have an
    overlap of 1 observation.

                        Changes in version 1.0.0                        

  - Initial CRAN submission.