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 D1 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 

Feedforward Neural Networks and Multinomial LogLinear Models 

Support for parallel computation, including randomnumber generation 

Classification based on a forest of trees using random inputs 

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 