NEWS.md

In metaforest: Exploring Heterogeneity in Meta-Analysis using Random Forests

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

metaforest documentation built on Jan. 8, 2020, 9:06 a.m.