Description 'Armadillo ' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo ' package includes the header files from the templated 'Armadillo ' library. Thus users do not need to install 'Armadillo ' itself in order to use 'RcppArmadillo'. 'Armadillo ' is licensed under the MPL 2.0, while 'RcppArmadillo ' (the 'Rcpp ' bindings/bridge to Armadill...
Description Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix co...
A streamlined linear algebra library (matrix maths) for the Python language, with emphasis on ease o...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
The Armadillo C++ library provides programmers with a high-level Matlab-like syntax for linear algeb...
C++ library for linear algebra (matrix maths), aiming towards a good balance between speed and ease ...
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...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
This note provides an overview of the steps programmers should follow to extend Rcpp (Eddelbuettel, ...
Description The package contains a modular pipeline for analysis of HELP microarray data, and in-clu...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The GNU Scientific Library, or GSL, is a collection of numerical routines for scientific computing (...
Description The main function archetypes implements a framework for archetypal analysis supporting a...
Description Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix co...
A streamlined linear algebra library (matrix maths) for the Python language, with emphasis on ease o...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
The Armadillo C++ library provides programmers with a high-level Matlab-like syntax for linear algeb...
C++ library for linear algebra (matrix maths), aiming towards a good balance between speed and ease ...
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...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
This note provides an overview of the steps programmers should follow to extend Rcpp (Eddelbuettel, ...
Description The package contains a modular pipeline for analysis of HELP microarray data, and in-clu...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The GNU Scientific Library, or GSL, is a collection of numerical routines for scientific computing (...
Description The main function archetypes implements a framework for archetypal analysis supporting a...
Description Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix co...
A streamlined linear algebra library (matrix maths) for the Python language, with emphasis on ease o...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...