Package: bayesTFR
Version: 7.4-5
Date: 2026-07-29
Title: Bayesian Fertility Projection
Authors@R: c(person(given = "Hana",
                    family = "Sevcikova",
                    role = c("cre", "aut"),
                    email = "hanas@uw.edu"),
            person(given = "Leontine",
                      family = "Alkema",
                      role = "aut"),
            person(given = "Peiran",
                      family = "Liu",
                      role = "aut"),
             person(given = "Adrian",
                      family = "Raftery",
                      role = "aut",
                      email = "raftery@uw.edu"),
            person(given = "Bailey",
                      family = "Fosdick",
                      role = "aut"),
            person(given = "Patrick",
                      family = "Gerland",
                      role = "aut",
                      email = "gerland@un.org"
                      )
           )
Depends: R (>= 3.5.0)
Imports: mvtnorm, MASS, coda, graphics, grDevices, stats, utils,
        wpp2019, data.table, lifecycle
Suggests: rworldmap, snowFT, googleVis, sp, wpp2017, wpp2015, wpp2012,
        wpp2010, ggplot2, sf, spData, scales
Description: Making probabilistic projections of total fertility rate
        for all countries of the world, using a Bayesian hierarchical
        model <doi:10.1007/s13524-011-0040-5>
        <doi:10.18637/jss.v106.i08>. Subnational probabilistic
        projections are also supported <doi:10.4054/DemRes.2018.38.60>.
License: GPL-3 | file LICENSE
URL: https://bayespop.csss.washington.edu
LazyData: false
NeedsCompilation: yes
Packaged: 2026-09-28 12:15:46 UTC; root
Author: Hana Sevcikova [cre, aut], Leontine Alkema [aut], Peiran Liu
        [aut], Adrian Raftery [aut], Bailey Fosdick [aut], Patrick
        Gerland [aut]
Maintainer: Hana Sevcikova <hanas@uw.edu>
Repository: https://hanase.r-universe.dev
Date/Publication: 2026-07-30 10:50:08 UTC
RemoteUrl: https://github.com/cran/bayesTFR
RemoteRef: HEAD
RemoteSha: 3058cd258073cffc8c4031d20eaf48d979887fc0
