# ODRF 0.0.5

* 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 the ensemble of ODT-based boosting trees，denoted by ODBT.
* 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

* 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

* 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

* 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 `NEWS.md` 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().
