Package: saebnocov
Title: Small Area Estimation using Empirical Bayes without Auxiliary
        Variable
Version: 0.1.0
Authors@R: c(person(given = "Siti Rafika", family = "Fiandasari", role = c("aut","cre"), email = "fikafianda@gmail.com"),
            person(given = "Margaretha Ari", family = "Anggorowati", role = "aut", email = "m.ari@bps.go.id"),
            person(given = "Bahrul Ilmi", family = "Nasution", role = "aut", email = "bahrulnst@gmail.com"))
Description: Estimates the parameter of small area in binary data without
             auxiliary variable using Empirical Bayes technique, mainly from Rao 
             and Molina (2015,ISBN:9781118735787) with book entitled "Small Area Estimation Second Edition". 
             This package provides another option of direct estimation using weight.
             This package also features alpha and beta parameter estimation on calculating process of small area.
             Those methods are Newton-Raphson and Moment which based on Wilcox (1979) <doi:10.1177/001316447903900302> 
             and Kleinman (1973) <doi:10.1080/01621459.1973.10481332>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: descr, dplyr, rlang, stats
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-09-02 02:31:53 UTC; bps
Author: Siti Rafika Fiandasari [aut, cre],
  Margaretha Ari Anggorowati [aut],
  Bahrul Ilmi Nasution [aut]
Maintainer: Siti Rafika Fiandasari <fikafianda@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-05 07:20:05 UTC
Built: R 4.2.0; ; 2022-09-13 22:24:06 UTC; unix
