Package: BayesSampling
Type: Package
Title: Bayes Linear Estimators for Finite Population
Version: 1.1.0
Date: 2021-04-24
Authors@R: c(person("Pedro", "Soares Figueiredo", 
                     role = c("aut", "cre"),
                     email = "pedrosfig@hotmail.com",
                     comment = c(ORCID = "0000-0003-2279-2881")),
              person("Kelly C.", "M. Gonçalves", 
                     role = c("aut", "ths"),
                     email = "kelly@dme.ufrj.br",
                     comment = c(ORCID = "0000-0002-4524-547X")))
Maintainer: Pedro Soares Figueiredo <pedrosfig@hotmail.com>
Description: Allows the user to apply the Bayes Linear approach to
        finite population with the Simple Random Sampling - BLE_SRS() -
        and the Stratified Simple Random Sampling design - BLE_SSRS() -
        (both without replacement), to the Ratio estimator (using
        auxiliary information) - BLE_Ratio() - and to categorical data
        - BLE_Categorical(). The Bayes linear estimation approach is
        applied to a general linear regression model for finite
        population prediction in BLE_Reg() and it is also possible to
        achieve the design based estimators using vague prior
        distributions. Based on Gonçalves, K.C.M, Moura, F.A.S and
        Migon, H.S.(2014)
        <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886>.
URL: https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886,
        https://github.com/pedrosfig/BayesSampling
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5)
Imports: MASS, Matrix, stats, matrixcalc
Suggests: knitr, rmarkdown, TeachingSampling
VignetteBuilder: knitr
Language: en-US
Repository: https://pedrosfig.r-universe.dev
Date/Publication: 2021-05-01 18:20:39 UTC
RemoteUrl: https://github.com/pedrosfig/bayessampling
RemoteRef: HEAD
RemoteSha: 13095496b1d1c2c51167e3e7d59446a4319aae0e
NeedsCompilation: no
Packaged: 2026-06-22 07:56:00 UTC; root
Author: Pedro Soares Figueiredo [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2279-2881>),
  Kelly C. M. Gonçalves [aut, ths] (ORCID:
    <https://orcid.org/0000-0002-4524-547X>)