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Package ‘rSRD’

  • We provide an implementation for Sum of Ranking Differences (SRD), a novel statistical test introduced by Héberger (2010) <doi:10.1016/j.trac.2009.09.009>. The test allows the comparison of different solutions through a reference by first performing a rank transformation on the input, then calculating and comparing the distances between the solutions and the reference - the latter is measured in the L1 norm. The reference can be an external benchmark (e.g. an established gold standard) or can be aggregated from the data. The calculated distances, called SRD scores, are validated in two ways, see Héberger and Kollár-Hunek (2011) <doi:10.1002/cem.1320>. A randomization test (also called permutation test) compares the SRD scores of the solutions to the SRD scores of randomly generated rankings. The second validation option is cross-validation that checks whether the rankings generated from the solutions come from the same distribution or not. For a detailed analysis about the cross-validation process see Sziklai, BaranyiWe provide an implementation for Sum of Ranking Differences (SRD), a novel statistical test introduced by Héberger (2010) <doi:10.1016/j.trac.2009.09.009>. The test allows the comparison of different solutions through a reference by first performing a rank transformation on the input, then calculating and comparing the distances between the solutions and the reference - the latter is measured in the L1 norm. The reference can be an external benchmark (e.g. an established gold standard) or can be aggregated from the data. The calculated distances, called SRD scores, are validated in two ways, see Héberger and Kollár-Hunek (2011) <doi:10.1002/cem.1320>. A randomization test (also called permutation test) compares the SRD scores of the solutions to the SRD scores of randomly generated rankings. The second validation option is cross-validation that checks whether the rankings generated from the solutions come from the same distribution or not. For a detailed analysis about the cross-validation process see Sziklai, Baranyi and Héberger (2021) <arXiv:2105.11939>. The package offers a wide array of features related to SRD including the computation of the SRD scores, validation options, input preprocessing and plotting tools.show moreshow less
  • 17-seitiges Manual zum R-Paket rSRD, einer offiziellen Erweiterung der Programmiersprache R für ein neues statistisches Verfahren. Die Software unterliegt einem Prozess zur Qualitätssicherung, das Manual ist aber nicht im klassischen Sinne streng referiert.

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Metadaten
Author:Jochen StaudacherORCiDGND, Balázs R. SziklaiORCiD, Linus Olsson, Dennis Horn, Alexander Pothmann, Ali Tugay Sen, Attila GereORCiD, Károly HébergerORCiD
URN:urn:nbn:de:bvb:859-16268
Subtitle (English):Package Manual for package version 0.1.7
Place of publication:Kempten
Document Type:Other
Language:English
Date of first Publication:2023/02/08
Publishing Institution:Hochschule für angewandte Wissenschaften Kempten
Tag:R packages
GND Keyword:Statistik
Number of pages:17 Seiten
Original Publication / Source:https://cran.r-project.org/web/packages/rSRD/rSRD.pdf
Institutes:Fakultät Informatik
IFI - Institut für Internationalisierung
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke
3 Sozialwissenschaften
5 Naturwissenschaften und Mathematik
Open Access:open_access
Research focus:FSP4: Soziale Innovationen
Publication Lists:Staudacher, Jochen
Publication reviewed:nicht begutachtet
Licence (German):Es gilt das deutsche Urheberrecht
Release Date:2023/02/09
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