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-4.4-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'))

Peer review:

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

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

On CRAN:

14 exports 2 stars 1.03 score 0 dependencies 6 scripts 320 downloads

Last updated 13 days agofrom:8faa23ae73. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

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 Sep 04 2024.

Last update: 2024-09-04
Started: 2024-04-20

Calling BFI from Python

Rendered fromPython.Rmdusingknitr::rmarkdownon Sep 04 2024.

Last update: 2024-09-04
Started: 2024-04-20

Using BFI in SAS

Rendered fromSAS.Rmdusingknitr::rmarkdownon Sep 04 2024.

Last update: 2024-09-04
Started: 2024-09-04