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Version 0.1.5

• Fixed NOTES in CRAN check
• Fixed plot.ranger()
• Fixed seq_unif.integer() so it will no longer duplicate unique values when length.out exceeds the number of unique values

Version 0.1.4

• ClusterMF is hard deprecated. Replace any legacy call to ClusterMF with a call to MetaForest with the same arguments.
• Fixed PartialDependence for ranger objects
• Fixed bug where the argument “vi” was passed on to ranger()

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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