a-compatibility-note-for-saveRDS-save
                        Model Serialization and Compatibility
agaricus.test           Test part from Mushroom Data Set
agaricus.train          Training part from Mushroom Data Set
coef.xgb.Booster        Extract coefficients from linear booster
dim.xgb.DMatrix         Dimensions of xgb.DMatrix
dimnames.xgb.DMatrix    Handling of column names of 'xgb.DMatrix'
getinfo.xgb.Booster     Get or set information of xgb.DMatrix and
                        xgb.Booster objects
predict.xgb.Booster     Predict method for XGBoost model
predict.xgboost         Compute predictions from XGBoost model on new
                        data
print.xgb.Booster       Print xgb.Booster
print.xgb.DMatrix       Print xgb.DMatrix
print.xgb.cv.synchronous
                        Print xgb.cv result
print.xgboost           Print info from XGBoost model
variable.names.xgb.Booster
                        Get Features Names from Booster
xgb.Callback            XGBoost Callback Constructor
xgb.DMatrix             Construct xgb.DMatrix object
xgb.DMatrix.hasinfo     Check whether DMatrix object has a field
xgb.DMatrix.save        Save xgb.DMatrix object to binary file
xgb.DataBatch           Structure for Data Batches
xgb.DataIter            XGBoost Data Iterator
xgb.ExtMemDMatrix       DMatrix from External Data
xgb.QuantileDMatrix.from_iterator
                        QuantileDMatrix from External Data
xgb.attr                Accessors for serializable attributes of a
                        model
xgb.cb.cv.predict       Callback for returning cross-validation based
                        predictions
xgb.cb.early.stop       Callback to activate early stopping
xgb.cb.evaluation.log   Callback for logging the evaluation history
xgb.cb.gblinear.history
                        Callback for collecting coefficients history of
                        a gblinear booster
xgb.cb.print.evaluation
                        Callback for printing the result of evaluation
xgb.cb.reset.parameters
                        Callback for resetting booster parameters at
                        each iteration
xgb.cb.save.model       Callback for saving a model file
xgb.config              Accessors for model parameters as JSON string
xgb.copy.Booster        Deep-copies a Booster Object
xgb.create.features     Create new features from a previously learned
                        model
xgb.cv                  Cross Validation
xgb.dump                Dump an XGBoost model in text format.
xgb.gblinear.history    Extract gblinear coefficients history
xgb.get.DMatrix.data    Get DMatrix Data
xgb.get.DMatrix.num.non.missing
                        Get Number of Non-Missing Entries in DMatrix
xgb.get.DMatrix.qcut    Get Quantile Cuts from DMatrix
xgb.get.num.boosted.rounds
                        Get number of boosting in a fitted booster
xgb.ggplot.deepness     Plot model tree depth
xgb.ggplot.importance   Plot feature importance
xgb.ggplot.shap.summary
                        SHAP summary plot
xgb.importance          Feature importance
xgb.is.same.Booster     Check if two boosters share the same C object
xgb.load                Load XGBoost model from binary file
xgb.load.raw            Load serialised XGBoost model from R's raw
                        vector
xgb.model.dt.tree       Parse model text dump
xgb.model.parameters<-
                        Accessors for model parameters
xgb.params              XGBoost Parameters
xgb.plot.multi.trees    Project all trees on one tree
xgb.plot.shap           SHAP dependence plots
xgb.plot.tree           Plot boosted trees
xgb.save                Save XGBoost model to binary file
xgb.save.raw            Save XGBoost model to R's raw vector
xgb.set.config, xgb.get.config
                        Set and get global configuration
xgb.slice.Booster       Slice Booster by Rounds
xgb.slice.DMatrix       Slice DMatrix
xgb.train               Fit XGBoost Model
xgboost                 Fit XGBoost Model
xgboost-options         XGBoost Options
