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