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 and logistic regression models; see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>.

Version: 1.1.4
Depends: R (≥ 2.10)
Imports: devtools, stats
Suggests: knitr, rmarkdown, roxygen2, spelling, testthat (≥ 3.0.0)
Published: 2024-04-27
DOI: 10.32614/CRAN.package.BFI
Author: Hassan Pazira ORCID iD [aut, cre], Emanuele Massa ORCID iD [aut], Marianne A. Jonker ORCID iD [aut]
Maintainer: Hassan Pazira <hassan.pazira at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: BFI citation info
Materials: README NEWS
CRAN checks: BFI results


Reference manual: BFI.pdf
Vignettes: An Introduction to BFI
Calling BFI from Python
Calling BFI from SAS


Package source: BFI_1.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BFI_1.1.4.tgz, r-oldrel (arm64): BFI_1.1.4.tgz, r-release (x86_64): BFI_1.1.4.tgz, r-oldrel (x86_64): BFI_1.1.4.tgz


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