Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)

Albert, Carlo, Vogel, Sören and Ashauer, Roman orcid.org/0000-0002-9579-8793 (2016) Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS). PLoS Computational Biology. e1004978. pp. 1-19. ISSN 1553-734X

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Authors/Creators:
Keywords: Computational Theory and Mathematics,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Genetics,Molecular Biology,Ecology,Cellular and Molecular Neuroscience
Dates:
  • Published: 24 June 2016
  • Accepted: 12 May 2016
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Environment and Geography (York)
Depositing User: Pure (York)
Date Deposited: 01 Aug 2016 14:20
Last Modified: 13 Nov 2019 10:39
Published Version: https://doi.org/10.1371/journal.pcbi.1004978
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pcbi.1004978
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Filename: 45_GUTS_in_R_new_algorithm.pdf

Description: 45 GUTS in R new algorithm

Licence: CC-BY 2.5

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