Пакет: r-cran-rcpparmadillo (0.10.2.1.0-1)

[ Источник: r-cran-rcpparmadillo  ]

GNU R package for Armadillo C++ linear algebra library

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.

A delayed evaluation approach is employed (during compile time) to combine several operations into one, and to reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming.

This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language.

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.

This Armadillo integration provides a nice illustration of the capabilities of the Rcpp package for seamless R and C++ integration.

Armadillo is licensed under the MPL 2.0, while RcppArmadillo (the Rcpp bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp.

Другие пакеты, относящиеся к r-cran-rcpparmadillo

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  или libblas.so.3

  виртуальный пакет, предоставляемый libatlas3-base, libblas3, libblis3-openmp, libblis3-pthread, libblis3-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.29)

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  также виртуальный пакет, предоставляемый libc6-udeb

• dep: libgcc-s1 (>= 3.5)

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• dep: liblapack3

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  или liblapack.so.3

  виртуальный пакет, предоставляемый libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libstdc++6 (>= 8)

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• dep: r-api-4.0

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• dep: r-base-core (>= 4.0.3-1)

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• dep: r-cran-pkgkitten

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• dep: r-cran-rcpp (>= 0.11.0)

  GNU R package for Seamless R and C++ Integration

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