Package: BFI
Type: Package
Title: Bayesian Federated Inference
Version: 3.3.0
Date: 2026-10-25
Authors@R: c(person(given = "Hassan", family = "Pazira", email = "h.pazira@arq.org", 
    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4266-6877")),
    person(given = "Emanuele", family = "Massa", role = "aut",
    comment = c(ORCID = "0000-0001-5715-2572")),
    person(given = "Marianne A.", family = "Jonker", role = c("aut"),
    comment = c(ORCID = "0000-0003-0134-8482")))
Author: Hassan Pazira [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-4266-6877>), Emanuele Massa [aut]
        (ORCID: <https://orcid.org/0000-0001-5715-2572>), Marianne A.
        Jonker [aut] (ORCID: <https://orcid.org/0000-0003-0134-8482>)
Maintainer: Hassan Pazira <h.pazira@arq.org>
Description: 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 (2026)
        <doi:10.1080/02664763.2025.2511932>; and for heterogeneous
        populations, see Jonker, Pazira and Coolen (2025)
        <doi:10.1017/rsm.2025.6>.
License: MIT + file LICENSE
URL: https://hassanpazira.github.io/BFI/
Encoding: UTF-8
Suggests: knitr, rmarkdown, roxygen2, devtools, spelling, testthat (>=
        3.0.0), survival
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
Imports: stats
Config/testthat/edition: 3
RoxygenNote: 7.3.3
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-28 23:27:44 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-28 15:00:02 UTC
RemoteUrl: https://github.com/cran/BFI
RemoteRef: HEAD
RemoteSha: 4ddbf02182f37f8f66e5ee2b86ae444758f4d639