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Description: Bayesian variable selection methods for analyzing the structure of a Markov Random Field model for a network of binary and/or ordinal variables. Details of the implemented methods can be found in: Marsman, van den Bergh, and Haslbeck (in press) <doi:10.31234/osf.io/ukwrf>.
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Description: Bayesian variable selection methods for analyzing the structure of a Markov Random Field model for a network of binary and/or ordinal variables. Details of the implemented methods can be found in: Marsman, van den Bergh, and Haslbeck (in press) <doi:10.31234/osf.io/ukwrf>.
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Copyright: Includes datasets 'ADHD' and 'Boredom', which are licensed under CC-BY 4. See individual data documentation for license and citation.
author = {Huth, K. and {de Ron}, J. and Goudriaan, A. E. and Luigjes, K. and Mohammadi, R. and {van Holst}, R. J. and Wagenmakers, {E.-J.} and Marsman, M.},
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journal = {Advances in {M}ethods and {P}ractices in {P}sychological {S}cience},
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author = {Huth, K. and {de Ron}, J. and Goudriaan, A. E. and Luigjes, K. and Mohammadi, R. and {van Holst}, R. J. and Wagenmakers, {E.-J.} and Marsman, M.},
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author = {Sekulovski, N. and Keetelaar, S. and Huth, K. B. S. and Wagenmakers, Eric-Jan and {van }Bork, R. and {van den }Bergh, D. and Marsman, M.},
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title = {Testing conditional independence in psychometric networks: {A}n analysis of three {B}ayesian methods},
author = {Sekulovski, N. and Arena, G. and Friel, N. and Marsman, M.},
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