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The R package DAKS: Basic functions and complex algorithms in knowledge space theory

  • pro3dure medical GmbH

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

R is a language and environment for statistical computing and graphics. It is available as free software and can easily be extended by user contributed packages. This paper introduces the R package DAKS (version 1.0-0) developed by the authors for the theory of knowledge spaces in psychometrics. Knowledge space theory provides a theoretical framework for the modeling, assessment, and training of knowledge. It utilizes the idea that some pieces of knowledge may imply others, and is based on order and set theory. The package DAKS contains general functions, for instance, for switching between different formulations in knowledge space theory, a simulation tool, a graph drawing device for Hasse diagrams, and several data analysis methods for detecting implications between test items.

Original languageEnglish
Title of host publicationClassification as a Tool for Research - Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft fur Klassifikation e.V., GfKl 2009
PublisherKluwer Academic Publishers
Pages263-270
Number of pages8
ISBN (Print)9783642107443
DOIs
StatePublished - 2010
Event11th Biennial Conference of the International Federation of Classification Societies, IFCS 2009 and with the 33rd Annual Conf of the German Classification Society (Gesellschaft fur Klassifikation) on Classification as a Tool fo Research, GfKl 2009 - Dresden, Germany
Duration: 13 Mar 2009 → 18 Mar 2009

Publication series

NameStudies in Classification, Data Analysis, and Knowledge Organization
ISSN (Print)1431-8814

Conference

Conference11th Biennial Conference of the International Federation of Classification Societies, IFCS 2009 and with the 33rd Annual Conf of the German Classification Society (Gesellschaft fur Klassifikation) on Classification as a Tool fo Research, GfKl 2009
Country/TerritoryGermany
CityDresden
Period13/03/09 → 18/03/09

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