NEWS
mrIML 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.
mrIML 2.1.0 (2025-07-28)
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
mrIML 1.0.1
- Initial release to github
- Initial functions and vignettes