Changes in version 0.2.3.9000                      

                 Changes in version 0.2.3 (2026-01-29)                  

  - Add id to global variables

                 Changes in version 0.2.1 (2020-11-19)                  

==============================

  - Default of print_eval is TRUE when data_test is supplied.
  - covid_train and covid_test datasets are pre-processed.
  - add option to show target legend

Bug fixes:

  - requires custom tree to be trained on dataset with dependent
    variable as factor when task is classification.
  - label_map works again
  - fix mismatching categories in tree vs heatmap

                        Changes in version 0.2.0                        

Significant changes:

  - data argument is now replaced with x, which can be a dataframe (or
    tibble), a party (or constparty) object specifying the precomputed
    tree, or partynode object specifying the customized tree.
    custom_tree argument is no longer needed.
  - treeheatr() is now an alias for heat_tree()

Others:

  - include the diabetes dataset
  - reduce legend margin
  - remove my_target as column names within functions
  - allow wrapping as.party() around rpart object
  - use ARSA as seriation method for samples
  - swap the position of two arguments: target_lab and data_test
  - allow the user to choose features to show in the heatmap

                 Changes in version 0.1.0 (2020-06-17)                  

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ANNOUNCEMENTS

  - treeheatr 0.1.0 - first CRAN release!