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().