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 |
|
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 |