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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

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.