BFI
3.1.0Bayesian Federated Inference
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 67%
Downloads
Repository
Stars over time
Releases over time
Repository practices
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/hassanpazira/bfi on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2024-04-27
- Total releases
- 4 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 5.1 KB / 2 files
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BFI")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.