The Scythe Statistical Library: An Open Source C++ Library for Statistical Computation
dc.contributor.author | Pemstein, Daniel | |
dc.contributor.author | Quinn, Kevin M. | |
dc.contributor.author | Martin, Andrew D. | |
dc.date.accessioned | 2015-12-04T15:44:38Z | |
dc.date.available | 2015-12-04T15:44:38Z | |
dc.date.issued | 2011-06 | |
dc.identifier.citation | Daniel 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.uri | https://hdl.handle.net/2027.42/116100 | |
dc.description.abstract | The 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 License | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Foundation for Open Access Statistics | en_US |
dc.subject | matrix operations | en_US |
dc.subject | pseudo-random number generation | en_US |
dc.subject | numerical optimization | en_US |
dc.subject | C++ | en_US |
dc.title | The Scythe Statistical Library: An Open Source C++ Library for Statistical Computation | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Political Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.contributor.affiliationum | LSA Dean's Office | en_US |
dc.contributor.affiliationother | Vanderbilt University | en_US |
dc.contributor.affiliationother | University of California, Berkeley | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/116100/1/jstatSoft11b.pdf | |
dc.identifier.source | Journal of Statistical Software | en_US |
dc.identifier.orcid | 0000-0002-6532-0721 | en_US |
dc.identifier.name-orcid | Martin, Andrew; 0000-0002-6532-0721 | en_US |
dc.owningcollname | Political Science |
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