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:
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')) |
Bug tracker:https://github.com/hassanpazira/bfi/issues
Last updated 13 days agofrom:3e96109a1b. Checks:OK: 1 ERROR: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | ERROR | Nov 08 2024 |
| R-4.5-linux | ERROR | Nov 08 2024 |
| R-4.4-win | ERROR | Nov 08 2024 |
| R-4.4-mac | ERROR | Nov 08 2024 |
| R-4.3-win | ERROR | Nov 08 2024 |
| R-4.3-mac | ERROR | Nov 08 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 Nov 08 2024.Last update: 2024-11-08
Started: 2024-04-20
Calling BFI from Python
Rendered fromPython.Rmdusingknitr::rmarkdownon Nov 08 2024.Last update: 2024-11-08
Started: 2024-04-20
Using BFI in SAS
Rendered fromSAS.Rmdusingknitr::rmarkdownon Nov 08 2024.Last update: 2024-11-08
Started: 2024-11-08
