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
NeedsCompilation: no
Packaged: 2021-05-01 18:31:42 UTC; pedro
Author: Pedro Soares Figueiredo [aut, cre]
    (<https://orcid.org/0000-0003-2279-2881>),
  Kelly C. M. Gonçalves [aut, ths]
    (<https://orcid.org/0000-0002-4524-547X>)
Repository: CRAN
Date/Publication: 2021-05-01 19:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 23:52:35 UTC; unix
