Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics (matlib)
A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm.
Groovy Language Integration (rGroovy)
Integrates the Groovy scripting language with the R Project for Statistical Computing.
C++ Header Files of ‘cereal’ (Rcereal)
To facilitate using ‘cereal’ with Rcpp. ‘cereal’ is a header-only C++11 serialization library. ‘cereal’ takes arbitrary data types and reversibly turns them into different representations, such as compact binary encodings, XML, or JSON. ‘cereal’ was designed to be fast, light-weight, and easy to extend – it has no external dependencies and can be easily bundled with other code or used standalone.
Utilities for Graphical Rendering (gdtools)
Useful tools for writing vector graphics devices.
Transforms Input Data from a PMML Perspective (pmmlTransformations)
Allows for data to be transformed before using it to construct models. Builds structures to allow functions in the PMML package to output transformation details in addition to the model in the resulting PMML file.