Changes in 5.0:
 - Fixed clang-13 issue with OpenMP.
 - Changed HTTP URLs to use HTTPS.

Changes in 4.0:
 - Internal PRNG switched to PCG32, with D. Lemire method for used for 
 unbiased sampling. Hence, same random seed does not reproduce the 
 same results as pre-4.0 versions. One can also expect slight speed
 regression.
 - Migrated to GitLab.
 - Fixed error in NA checking. Thanks to Patrick Schratz for spotting
 this.

Changes in 3.0:
 - Parallel training with OpenMP.
 - New organisation of the internal PRNG.
 - Error propagation reporting removed (arguments reportErrorEvery and
 saveErrorPropagation) since it brings too little value for the
 complexity it requires. And can be emulated with merging anyway.

Changes in 2.0.3:
 - Registration of native routines.
 - Documentation updates.

Changes in 2.0.2:
 - Added a wrapper for performing feature selection using shadow
 importance.

Changes in 2.0.1:
 - Fixed bug in merge.rFerns code, causing merged importance scores to
 be wrong, especially after merging very small ensembles.
 - Fixed memory protection bug triggering rare segmentation faults in
 the R's GC, often long after the rFerns model was completed.

Changes in 2.0.0:
 - Shadow importance.
 - Roxygen documentation.
 - Model merging for parallel, batch and deeply traceable training.
 - Fixed a minor error in leaf score calculation (basically redundant to
 the model performance). Thanks to Mateusz Fedoryszak for spotting this.
 - Fixed OOB predictions returned by predict(), which are now always
 data.frame, even in the multi-label case.

Changes in 1.1.0:
 - Code portability fixes.
 - predict method returns OOB results for no input data even when fern
 forest is not saved.
 - Fixed minor importance calculation bug.

Changes in 1.0.0:
 - Published in JSS.

Changes in 0.3.3:
 - Fixed uninitialised memory bug causing problems with LLVM.

Changes in 0.3.2:
 - Prototype of a multi-label classification.
 - Removed redundant constant from scores definition; score values will
 be different, but the importance scores and prediction results will be
 the same as generated by previous versions.

Changes in 0.3.1:
 - predict method for rFerns returns OOB votes/scores when no predictors
 are given.

Changes in 0.3:
 - Handling of unbalanced classes.
 - Performance tweaks.

Changes in 0.2:
 - Added support for integer and ordered-factor attributes, suggested by
 Bill Venables.

Changes in 0.1:
 - First public release.