Package: BFI 3.0.0

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_3.0.0.tar.gz
BFI_3.0.0.zip(r-4.5)BFI_3.0.0.zip(r-4.4)BFI_3.0.0.zip(r-4.3)
BFI_3.0.0.tgz(r-4.5-any)BFI_3.0.0.tgz(r-4.4-any)BFI_3.0.0.tgz(r-4.3-any)
BFI_3.0.0.tar.gz(r-4.5-noble)BFI_3.0.0.tar.gz(r-4.4-noble)
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BFI.pdf |BFI.html✨
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 site:https://hassanpazira.github.io

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

On CRAN:

Conda:

4.78 score 2 stars 6 scripts 361 downloads 14 exports 0 dependencies

Last updated 2 days agofrom:5560636692. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winWARNINGMar 22 2025
R-4.5-macWARNINGMar 22 2025
R-4.5-linuxWARNINGMar 22 2025
R-4.4-winWARNINGMar 22 2025
R-4.4-macWARNINGMar 22 2025
R-4.4-linuxWARNINGMar 22 2025
R-4.3-winWARNINGMar 22 2025
R-4.3-macWARNINGMar 22 2025

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 Mar 22 2025.

Last update: 2025-03-22
Started: 2024-04-20

Calling BFI from Python

Hassan Pazira

Rendered fromPython.Rmdusingknitr::rmarkdownon Mar 22 2025.

Last update: 2025-03-22
Started: 2024-04-20

Using BFI in SAS

Hassan Pazira

Rendered fromSAS.Rmdusingknitr::rmarkdownon Mar 22 2025.

Last update: 2025-03-22
Started: 2025-03-22