Introduction to metaforest
ClusterMF is hard deprecated. Replace any legacy call to ClusterMF with a call to MetaForest with the same arguments.
Fixed PartialDependence for ranger objects
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
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
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