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SimInf: An R package for data-driven stochastic disease spread simulations
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.ORCID iD: 0000-0002-3614-1732
2019 (English)In: Journal of Statistical Software, ISSN 1548-7660, E-ISSN 1548-7660, Vol. 91, no 12, p. 1-42Article in journal (Refereed) Published
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2019. Vol. 91, no 12, p. 1-42
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Software Engineering Probability Theory and Statistics
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URN: urn:nbn:se:uu:diva-397957DOI: 10.18637/jss.v091.i12ISI: 000495940100001OAI: oai:DiVA.org:uu-397957DiVA, id: diva2:1382218
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UPMARCeSSENCEAvailable from: 2019-11-12 Created: 2020-01-02 Last updated: 2020-01-24Bibliographically approved

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Widgren, StefanBauer, PavolEriksson, RobinEngblom, Stefan

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