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Bergm: Bayesian exponential random graphs in R
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نویسنده
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caimo a. ,friel n.
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منبع
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journal of statistical software - 2014 - دوره : 61 - - کد همایش:
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چکیده
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In this paper we describe the main features of the bergm package for the open-source r software which provides a comprehensive framework for bayesian analysis of exponential random graph models: tools for parameter estimation,model selection and goodness-of- fit diagnostics. we illustrate the capabilities of this package describing the algorithms through a tutorial analysis of three network datasets.
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کلیدواژه
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Bayesian inference; Bayesian model selection; Exponential random graph models; Markov chain Monte Carlo
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آدرس
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university of lugano, Switzerland, university college dublin, Ireland
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Authors
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