Package: tipsae
Title: Tools for Handling Indices and Proportions in Small Area
        Estimation
Version: 0.0.4
Authors@R: 
    c(person(given = "Silvia",
           family = "De Nicolò",
           role = c("aut", "cre"),
           email = "silvia.denicolo@phd.unipd.it",
           comment = c(ORCID = "0000-0001-5052-6527")), 
           person(given = "Aldo",
           family = "Gardini",
           role = c("aut"),
           email = "aldo.gardini2@unibo.it",
           comment = c(ORCID = "0000-0002-2164-5815")))
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
VignetteBuilder: R.rsp
RdMacros: Rdpack
Biarch: true
NeedsCompilation: yes
Depends: R (>= 3.5.0), shiny (>= 1.0.3)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
        2.18.1), rstantools (>= 2.1.1), loo (>= 2.3.1), ggplot2 (>=
        3.3.2), gridExtra (>= 2.3), maptools (>= 1.0.2), rgeos, sp,
        spdep, broom, nlme (>= 3.1.152), stats, spam, ggpubr, callr,
        Rdpack
Suggests: R.rsp
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
Packaged: 2022-02-09 16:40:41 UTC; Acer
Author: Silvia De Nicolò [aut, cre] (<https://orcid.org/0000-0001-5052-6527>),
  Aldo Gardini [aut] (<https://orcid.org/0000-0002-2164-5815>)
Maintainer: Silvia De Nicolò <silvia.denicolo@phd.unipd.it>
Repository: CRAN
Date/Publication: 2022-02-10 18:50:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 16:08:04 UTC; windows
Archs: i386, x64
