The R statistical environment and language has demonstrated particular strengths for interactive development of statistical algorithms, as well as data modelling and visualisation. Its current implementation has an interpreter at its core which may result in a performance penalty in comparison to directly executing user algorithms in the native machine code of the host CPU. In contrast, the C++ language has no built-in visualisation capabilities, handling of linear algebra or even basic statistical algorithms; however, user programs are converted to high-performance machine code, ahead of execution. A new method avoids possible speed penalties in R by using the Rcpp extension package in conjunction with the Armadillo C++ matrix library. In ...
Description 'Armadillo ' is a templated C++ linear algebra library (by Conrad Sanderson) t...
R is a programming language for statistics that enables users to express computation at a high level...
This thesis studies the compilation and runtime techniques to improve the performance of dynamic scr...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
Background and Purpose: Penalized is a R package which allows users to fit penalized regression mode...
The RcppEigen package provides access from R (R Core Team 2012a) to the Eigen (Guennebaud, Jacob, an...
C++ library for linear algebra (matrix maths), aiming towards a good balance between speed and ease ...
The Armadillo C++ library provides programmers with a high-level Matlab-like syntax for linear algeb...
Software packages for spatial data often implement a hybrid approach of interpreted and compiled pro...
Data analysis is an essential task for research. Modern large datasets indeed contain a high volume ...
Description 'Armadillo ' is a templated C++ linear algebra library (by Conrad Sanderson) t...
R is a programming language for statistics that enables users to express computation at a high level...
This thesis studies the compilation and runtime techniques to improve the performance of dynamic scr...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
Background and Purpose: Penalized is a R package which allows users to fit penalized regression mode...
The RcppEigen package provides access from R (R Core Team 2012a) to the Eigen (Guennebaud, Jacob, an...
C++ library for linear algebra (matrix maths), aiming towards a good balance between speed and ease ...
The Armadillo C++ library provides programmers with a high-level Matlab-like syntax for linear algeb...
Software packages for spatial data often implement a hybrid approach of interpreted and compiled pro...
Data analysis is an essential task for research. Modern large datasets indeed contain a high volume ...
Description 'Armadillo ' is a templated C++ linear algebra library (by Conrad Sanderson) t...
R is a programming language for statistics that enables users to express computation at a high level...
This thesis studies the compilation and runtime techniques to improve the performance of dynamic scr...