Package: BFI 3.1.0

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>.

Authors:Hassan Pazira [aut, cre], Emanuele Massa [aut], Marianne A. Jonker [aut]

BFI_3.1.0.tar.gz
BFI_3.1.0.zip(r-4.7)BFI_3.1.0.zip(r-4.6)BFI_3.1.0.zip(r-4.5)
BFI_3.1.0.tgz(r-4.6-any)BFI_3.1.0.tgz(r-4.5-any)
BFI_3.1.0.tar.gz(r-4.7-any)BFI_3.1.0.tar.gz(r-4.6-any)
BFI_3.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BFI/json (API)
NEWS

# Install 'BFI' in R:
install.packages('BFI', repos = c('https://hassanpazira.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hassanpazira/bfi/issues

Pkgdown/docs site:https://hassanpazira.github.io

Datasets:
  • Nurses - Nurses' stress in different hospitals
  • trauma - Trauma patients from different hospitals

On CRAN:

Conda:

4.78 score 4 stars 8 scripts 672 downloads 14 exports 0 dependencies

Last updated from:58e17cf04e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK161
source / vignettesOK214
linux-release-x86_64OK145
macos-release-arm64OK153
macos-oldrel-arm64OK195
windows-develOK106
windows-releaseOK103
windows-oldrelOK107
wasm-releaseOK107

Exports:A.l.makerb.diagbfihazards.funi.basisinv.prior.covlambda.polyMAP.estimationmodel.makern.parnegloglik.thetaoptim.survivalql.LRTsurv.simulate

Dependencies:

An Introduction to BFI in R

Hassan Pazira, Marianne Jonker

Rendered fromBFI.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2025-05-23
Started: 2024-04-20

Calling BFI from Python

Hassan Pazira

Rendered fromPython.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2025-05-23
Started: 2024-04-20

Using BFI in SAS

Hassan Pazira

Rendered fromSAS.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2025-05-23
Started: 2025-05-23