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CXXR: an extensible R interpreter. (English) Zbl 1540.62021

MSC:

62-08 Computational methods for problems pertaining to statistics

Keywords:

R; CXXR; serialization
Full Text: DOI

References:

[1] RunnallsAR.Aspects of CXXR internals. Comp Stat2010, 26:427-42. ISSN 0943‐4062. · Zbl 1304.65063
[2] Boost. Boost C++ libraries. Available at http://www.boost.org. (Accessed February 15, 2013).
[3] RunnallsAR, SillesCA. Provenance tracking in R. From International Provenance and Annotation Workshop (IPAW) 2012, Santa Barbara CA. Forthcoming inthe conference proceedings, Springer LNCS 7525. Available in poster form at: http://www.cs.kent.ac.uk/projects/cxxr/pubs/ IPAW2012_poster.pdf. (Accessed February 2, 2013).
[4] SillesCA, RunnallsAR.Provenance‐awareness in R. In: McGuinness , D, MichaelisJ, MoreauL, eds. Provenance and Annotation of Data and Processes, Lecture Notes in Computer Science.Berlin/Heidelberg: Springer; 2010. ISBN 978‐3‐642‐17818‐4.
[5] EddelbuettelD, FrançoisR. Seamless R and C++ integration. Available as package Rcpp from CRAN: http://cran.r‐project.org. (Accessed February 15, 2013).
[6] Runnalls AR. CXXR and add‐on packages. From useR! 2010 conference. Available at: http://user2010.org/slides/Runnalls.pdf. (Accessed February 15, 2013).
[7] BatesD, MaechlerM. Matrix: Sparse and dense matrix classes and methods (This package is included in the standard distributions of CR and CXXR). Available as package Matrix from CRAN: http://cran.r‐project.org. (Accessed February 15, 2013).
[8] GMP. The GNU multiple precision arithmetic library. Available at: http://gmplib.org. (Accessed February 15, 2013).
[9] LucasA, ScholzI, BoehmeR, JassonS, MaechlerM. RBigIntegers. Available as package gmp from CRAN: http://cran.r‐project.org, and from http://mulcyber.toulouse.inra.fr/projects/gmp. (Accessed February 15, 2013).
[10] The R Core Team Writing R extensions. Available at: www.r‐project.org. (Accessed February 15, 2013).
[11] AdlerD, GläserC, NenadicO, OehlschlägelJ, ZucchiniW. ff: memory‐efficient storage of large data on disk and fast access functions. Available as package ff from CRAN: http://cran.r‐project.org. (Accessed February 15, 2013).
[12] Ramey R. Boost serialization. Available at: http://www.boost.org. (Accessed February 15, 2013).
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