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BFI: Bayesian Federated Inference
The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the 'BFI' methodology is programmed for linear, logistic and survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers, Coolen and Jonker (2025) <doi:10.48550/arXiv.2404.17464>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2025) <doi:10.1017/rsm.2025.6>.
Getting started
Browse package contents
Package details |
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| Author | Hassan Pazira [aut, cre] (ORCID: <https://orcid.org/0000-0002-4266-6877>), Emanuele Massa [aut] (ORCID: <https://orcid.org/0000-0001-5715-2572>), Marianne A. Jonker [aut] (ORCID: <https://orcid.org/0000-0003-0134-8482>) |
| Maintainer | Hassan Pazira <hassan.pazira@radboudumc.nl> |
| License | MIT + file LICENSE |
| Version | 3.1.0 |
| URL | https://hassanpazira.github.io/BFI/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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