RcppGSL: Rcpp integration for GNU GSL vectors and matrices. Rcpp integration for GNU GSL vectors and matrices The GNU Scientific Library (GSL) is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines such as special functions, permutations, combinations, fast fourier transforms, eigensystems, random numbers, quadrature, random distributions, quasi-random sequences, Monte Carlo integration, N-tuples, differential equations, simulated annealing, numerical differentiation, interpolation, series acceleration, Chebyshev approximations, root-finding, discrete Hankel transforms physical constants, basis splines and wavelets. There are over 1000 functions in total with an extensive test suite. The RcppGSL package provides an easy-to-use interface between GSL data structures and R using concepts from Rcpp which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses Rcpp to connect to another third-party library. The autoconf script, inline plugin and example package can all be used as a stanza to write a similar package against another library.
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References in zbMATH (referenced in 7 articles )
Showing results 1 to 7 of 7.
- Halaleh Kamari, Sylvie Huet, Marie-Luce Taupin: RKHSMetaMod : An R package to estimate the Hoeffding decomposition of an unknown function by solving RKHS Ridge Group Sparse optimization problem (2019) arXiv
- João Duarte; Vinícius Mayrink: slfm: An R Package to Evaluate Coherent Patterns in Microarray Data via Factor Analysis (2019) not zbMATH
- Parisi, Antonio; Liseo, B.: Objective Bayesian analysis for the multivariate skew-(t) model (2018)
- Brunero Liseo, Antonio Parisi: Objective Bayesian analysis for the multivariate skew-t model (2017) arXiv
- Douglas Bates; Dirk Eddelbuettel: Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package (2013) not zbMATH
- Eddelbuettel, Dirk: Seamless R and C++ integration with Rcpp (2013)
- Dirk Eddelbuettel; Romain Francois: Rcpp: Seamless R and C++ Integration (2011) not zbMATH