# Version 0.1.3

- ClusterMF is soft deprecated; it has the same functionality as
MetaForest. You can simply replace any call to ClusterMF with a call to
MetaForest with the same arguments.
- A clustered MetaForest analysis no longer automatically doubles the
number of trees estimated. Instead, it divides num.trees trees by two,
rounding up to the nearest even number.
- Generic S3 methods are now properly declared as such, instead of
being exported with their own documentation.
- Reduce dependencies by calculating partial dependence manually

# Version 0.1.2

- Rewrote WeightedScatter to jointly plot numeric and factor
variables
- Rewrote PartialDependence to be an S3 generic, with methods for
metaforest and rma models
- Rewrote PartialDependence to jointly plot numeric and factor
variables
- Added ModelInfo_mf(), which returns a ModelInfo list for using
metaforest with caret
- Added ModelInfo_rma(), which returns a ModelInfo list for using rma
with caret

# Version 0.1.1

- Substantial update to PartialDependence
- PartialDependence now plots percentile interval for predictions
- PartialDependence now plots weighted raw data
- Improved speed of PartialDependence
- Improved speed of plot.MetaForest by vectorizing calculations
- Removed dependency on edarf
- Removed dependency on reshape2
- MetaForest and ClusterMF now return vi and weights vectors for
plotting
- Improved speed of extract_proximity.MetaForest by using matrix
operations
- Added WeightedScatter for weighted scatterplots of meta-analytic
data