D Oracle R Distribution Packages
The table in this section lists the packages in Oracle R Distribution that are used by Oracle Machine Learning for R.
Table D-1 Oracle R Distribution Packages Used by Oracle Machine Learning for R
| Package Name | Package Description | 
|---|---|
| 
                               
  | 
                           
                               The R Base Package  | 
                        
| 
                               
  | 
                           
                               Bootstrap Functions (originally by Angelo Canty for S)  | 
                        
| 
                               
  | 
                           
                               Functions for Classification  | 
                        
| 
                               
  | 
                           
                               Cluster Analysis Extended Rousseeuw et al  | 
                        
| 
                               
  | 
                           
                               Code Analysis Tools for R  | 
                        
| 
                               
  | 
                           
                               The R Compiler Package  | 
                        
| 
                               
  | 
                           
                               The R Datasets Package  | 
                        
| 
                               
  | 
                           
                               Read Data Stored by Minitab, S, SAS, SPSS, Stata, Systat, dBase  | 
                        
| 
                               
  | 
                           
                               The R Graphics Package  | 
                        
| 
                               
  | 
                           
                               The R Graphics Devices and Support for Colours and Fonts  | 
                        
| 
                               
  | 
                           
                               The Grid Graphics Package  | 
                        
| 
                               
  | 
                           
                               Functions for kernel smoothing for Wand & Jones (1995)  | 
                        
| 
                               
  | 
                           
                               Lattice Graphics  | 
                        
| 
                               
  | 
                           
                               Support Functions and Datasets for Venables and Ripley's MASS  | 
                        
| 
                               
  | 
                           
                               Sparse and Dense Matrix Classes and Methods  | 
                        
| 
                               
  | 
                           
                               Formal Methods and Classes  | 
                        
| 
                               
  | 
                           
                               GAMs with GCV/AIC/REML smoothness estimation and GAMMs by PQL  | 
                        
| 
                               
  | 
                           
                               Linear and Nonlinear Mixed Effects Models  | 
                        
| 
                               
  | 
                           
                               Feed-forward Neural Networks and Multinomial Log-Linear Models  | 
                        
| 
                               
  | 
                           
                               Support for parallel computation, including random-number generation  | 
                        
| 
                               
  | 
                           
                               Recursive Partitioning  | 
                        
| 
                               
  | 
                           
                               Functions for Kriging and Point Pattern Analysis  | 
                        
| 
                               
  | 
                           
                               Regression Spline Functions and Classes  | 
                        
| 
                               
  | 
                           
                               The R Stats Package  | 
                        
| 
                               
  | 
                           
                               Statistical Functions using S4 Classes  | 
                        
| 
                               
  | 
                           
                               Survival analysis, including penalised likelihood.  | 
                        
| 
                               
  | 
                           
                               Tcl/Tk Interface  | 
                        
| 
                               
  | 
                           
                               Tools for Package Development  | 
                        
| 
                               
  | 
                           
                               Bindings for the Google Translate API v2  | 
                        
| 
                               
  | 
                           
                               The R Utils Package  |