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ODRF (development version)

  • Added linear model tree. Specifically, use parameter Xsplit as the splitting variable for ODT and fit a linear model for each split using the function “gmlnet”. The corresponding parameter is split=“linear”.

  • Added a classification and regression model tree. Changed the parameter “leafnode” to “type” in the function predict.ODT(), and for classification tasks, added category probability output.

  • Optimized some other known issues.

ODRF 0.0.4

CRAN release: 2023-05-28

  • Fixed function VarImp(), adding the method of measuring the importance of variables with node purity, and now VarImp() can be used for both class ODT and ODRF.
  • When the argument “Xcat ! = 0”, i.e., the category variable in predictor X is transformed to one-of-K encode. however for the argument “NodeRotateFun=‘RotMatRF’ (‘RotMatRand’)“ run error, we have now fixed it.
  • Added predicted values of training data for class ODT and ODRF.
  • Fixed issue related to function predict.ODRF() when argument “weight.tree = TRUE”.
  • Optimized some other known issues.

ODRF 0.0.3

CRAN release: 2023-03-16

  • The function predicate.ODT() runs error when ODT is not split (depth=1), and we have fixed this bug.
  • We have fixed the function predict.ODRF() with arguments numOOB and weight.tree related issues.
  • We have fixed the functions plot.ODT(), VarImp() and plot.VarImp().
  • We have fixed the argument ‘lambda’ of the functions ODT() and ODRF().

ODRF 0.0.2

CRAN release: 2023-02-28

  • We have now explained CART and Random Forest in the description text.
  • We have changed the Date field to a more recent date.
  • We have now exported the functions RandRot() and defaults(), and no longer need ODRF:::
  • We have removed par from plot.VarImp() and added on.exit to plot.prune.ODT(), and checked the code to make sure that it does not change the user’s options, including par or working directory.
  • We have removed the random seed number in functions ODRF(), poune.ODRF(), online.ODRF() and plot_ODT_depth().

ODRF 0.0.1

  • Added a file to track changes to the package.
  • This is the first fully-functioning version of the package. It currently has no ERRORs, WARNINGs, or NOTEs from devtools::check().