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bisonR - Bayesian Inference of Social Networks with R

Author

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  • Hart, Jordan D. A.
  • Franks, Daniel Wayne
  • Brent, Lauren
  • Weiss, Michael N.

Abstract

We present a user-friendly R package for fitting BISoN models and conducting a wide variety of social network analyses. The package uses a formula-based syntax that will be familiar to R users, and a single core function for fitting edge models that we hope will be accessible to practitioners. We hope our R package will facilitate wider adoption of the BISoN framework, enable more reliable inferences, and allow more sophisticated and specialised analysis of social networks.

Suggested Citation

  • Hart, Jordan D. A. & Franks, Daniel Wayne & Brent, Lauren & Weiss, Michael N., 2022. "bisonR - Bayesian Inference of Social Networks with R," OSF Preprints ywu7j, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:ywu7j
    DOI: 10.31219/osf.io/ywu7j
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    References listed on IDEAS

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    1. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
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    1. Wise, Karlissa & Carter, LaToya & Bamba, Leslie Alyssa & Barr, Rachel, 2024. "How Do Child Protective Service (CPS) Policies Keep Employees Safe: ACaseworker’s Perspective," Children and Youth Services Review, Elsevier, vol. 162(C).

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