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Changelog

Source: NEWS.md

Version 0.1.5

  • Better support for predefined tau2 values
  • 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

CRAN release: 2024-01-26

  • 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

CRAN release: 2020-01-08

  • 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

CRAN release: 2018-05-31

  • 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