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mrIML 2.2.0

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.

mrIML 2.1.0

CRAN release: 2025-07-28

mrIML 1.0.1

  • Initial release to github
  • Initial functions and vignettes

mrIML 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