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