Changes in version 2.2.0 (2025-11-20)                  

Initial bug fixes after major release of mrIML 2 to CRAN.

  - mrIMLpredicts() properly handles missing X or X1.
  - mrCovar() and mrVip() can handle factors without throwing a cbind
    error.
  - Stratified test-train splits so that there is always positive and
    negative observation in the test set for small data sets.
  - Improved internal behaviour of predict() from workflow objects.

                 Changes in version 2.1.0 (2025-07-28)                  

                        Changes in version 2.0.1                        

  - New functionality to allow MrIML to perform joint species
    distribution models (JSDMs)
  - New bootstrap functions and vignette
  - Can also harness deep neural network models

                        Changes in version 1.0.1                        

  - Initial release to github
  - Initial functions and vignettes