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 (2024) <doi:10.48550/arXiv.2404.17464>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2024) <doi:10.48550/arXiv.2402.02898>.

Version:	2.0.1
Depends:	R (≥ 2.10)
Imports:	stats
Suggests:	knitr, rmarkdown, roxygen2, devtools, spelling, testthat (≥ 3.0.0)
Published:	2024-07-04
DOI:	10.32614/CRAN.package.BFI
Author:	Hassan Pazira [aut, cre], Emanuele Massa [aut], Marianne A. Jonker [aut]
Maintainer:	Hassan Pazira <hassan.pazira at radboudumc.nl>
License:	MIT + file LICENSE
URL:	https://hassanpazira.github.io/BFI/
NeedsCompilation:	no
Language:	en-US
Citation:	BFI citation info
Materials:	README NEWS
CRAN checks:	BFI results

Documentation:

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

Downloads:

Package source:	BFI_2.0.1.tar.gz
Windows binaries:	r-devel: BFI_2.0.1.zip, r-release: BFI_2.0.1.zip, r-oldrel: BFI_2.0.1.zip
macOS binaries:	r-release (arm64): BFI_2.0.1.tgz, r-oldrel (arm64): BFI_2.0.1.tgz, r-release (x86_64): BFI_2.0.1.tgz, r-oldrel (x86_64): BFI_2.0.1.tgz
Old sources:	BFI archive

Linking:

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