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) and Kleinman (1973) . 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: 2026-10-10 14:34:17 UTC; root Author: Siti Rafika Fiandasari [aut, cre], Margaretha Ari Anggorowati [aut], Bahrul Ilmi Nasution [aut] Maintainer: Siti Rafika Fiandasari Repository: https://fika-fianda.r-universe.dev Date/Publication: 2022-09-05 06:20:05 UTC RemoteUrl: https://github.com/cran/saebnocov RemoteRef: HEAD RemoteSha: 5048522747fc884dda555e795ad935aa8b8ad3b8