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The Scythe Statistical Library: An Open Source C++ Library for Statistical Computation

dc.contributor.authorPemstein, Daniel
dc.contributor.authorQuinn, Kevin M.
dc.contributor.authorMartin, Andrew D.
dc.date.accessioned2015-12-04T15:44:38Z
dc.date.available2015-12-04T15:44:38Z
dc.date.issued2011-06
dc.identifier.citationDaniel Pemstein, Kevin M. Quinn, and Andrew D. Martin. 2011. “The Scythe Statistical Library: An Open Source C++ Library for Statistical Computation.” Journal of Statistical Software. 42(12): 1-26.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/116100
dc.description.abstractThe Scythe Statistical Library is an open source C++ library for statistical computation. It includes a suite of matrix manipulation functions, a suite of pseudo-random number generators, and a suite of numerical optimization routines. Programs written using Scythe are generally much faster than those written in commonly used interpreted languages, such as R and MATLAB; and can be compiled on any system with the GNU GCC compiler (and perhaps with other C++ compilers). One of the primary design goals of the Scythe developers has been ease of use for non-expert C++ programmers. Ease of use is provided through three primary mechanisms: (1) operator and function overloading, (2) numerous pre-fabricated utility functions, and (3) clear documentation and example programs. Additionally, Scythe is quite flexible and entirely extensible because the source code is available to all users under the GNU General Public Licenseen_US
dc.language.isoen_USen_US
dc.publisherFoundation for Open Access Statisticsen_US
dc.subjectmatrix operationsen_US
dc.subjectpseudo-random number generationen_US
dc.subjectnumerical optimizationen_US
dc.subjectC++en_US
dc.titleThe Scythe Statistical Library: An Open Source C++ Library for Statistical Computationen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPolitical Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumLSA Dean's Officeen_US
dc.contributor.affiliationotherVanderbilt Universityen_US
dc.contributor.affiliationotherUniversity of California, Berkeleyen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/116100/1/jstatSoft11b.pdf
dc.identifier.sourceJournal of Statistical Softwareen_US
dc.identifier.orcid0000-0002-6532-0721en_US
dc.identifier.name-orcidMartin, Andrew; 0000-0002-6532-0721en_US
dc.owningcollnamePolitical Science


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