Package: BFI 2.0.1

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>.

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

BFI_2.0.1.tar.gz
BFI_2.0.1.zip(r-4.5)BFI_2.0.1.zip(r-4.4)BFI_2.0.1.zip(r-4.3)
BFI_2.0.1.tgz(r-4.5-any)BFI_2.0.1.tgz(r-4.4-any)BFI_2.0.1.tgz(r-4.3-any)
BFI_2.0.1.tar.gz(r-4.5-noble)BFI_2.0.1.tar.gz(r-4.4-noble)
BFI_2.0.1.tgz(r-4.4-emscripten)BFI_2.0.1.tgz(r-4.3-emscripten)
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:

4.78 score 2 stars 6 scripts 383 downloads 14 exports 0 dependencies

Last updated 4 days agofrom:ef59d7d02d. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-winNOTEFeb 15 2025
R-4.5-macNOTEFeb 15 2025
R-4.5-linuxNOTEFeb 15 2025
R-4.4-winNOTEFeb 15 2025
R-4.4-macNOTEFeb 15 2025
R-4.3-winNOTEFeb 15 2025
R-4.3-macNOTEFeb 15 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

Rendered fromBFI.Rmdusingknitr::rmarkdownon Feb 15 2025.

Last update: 2025-02-15
Started: 2024-04-20

Calling BFI from Python

Rendered fromPython.Rmdusingknitr::rmarkdownon Feb 15 2025.

Last update: 2025-02-15
Started: 2024-04-20

Using BFI in SAS

Rendered fromSAS.Rmdusingknitr::rmarkdownon Feb 15 2025.

Last update: 2025-02-15
Started: 2025-02-15