Package: sae.prop
Type: Package
Title: Small Area Estimation using Fay-Herriot Models with Additive
        Logistic Transformation
Version: 0.1.2
Authors@R: c(person("M. Rijalus", "Sholihin", role = c("aut", "cre"),
                    email = "m.rijalussholihin@bps.go.id"),
              person("Cucu", "Sumarni", role = c("aut"),
                    email = "cucu@stis.ac.id"))
Description: Implements Additive Logistic Transformation (alr) for Small Area Estimation under Fay Herriot Model. Small Area Estimation is used to borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. This package uses Empirical Best Linear Unbiased Prediction (EBLUP). The Additive Logistic Transformation (alr) are based on transformation by Aitchison J (1986). The covariance matrix for multivariate application is based on covariance matrix used by Esteban M, Lombardía M, López-Vizcaíno E, Morales D, and Pérez A <doi:10.1007/s11749-019-00688-w>. The non-sampled models are modified area-level models based on models proposed by Anisa R, Kurnia A, and Indahwati I <doi:10.9790/5728-10121519>, with univariate model using model-3, and multivariate model using model-1. The MSE are estimated using Parametric Bootstrap approach. For non-sampled cases, MSE are estimated using modified approach proposed by Haris F and Ubaidillah A <doi:10.4108/eai.2-8-2019.2290339>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
URL: https://github.com/mrijalussholihin/sae.prop
BugReports: https://github.com/mrijalussholihin/sae.prop/issues
Imports: stats, utils, magic, MASS, corpcor, progress, fpc
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-10-15 11:29:23 UTC; M. Rijalus Sholihin
Author: M. Rijalus Sholihin [aut, cre],
  Cucu Sumarni [aut]
Maintainer: M. Rijalus Sholihin <m.rijalussholihin@bps.go.id>
Repository: CRAN
Date/Publication: 2023-10-15 14:40:02 UTC
Built: R 4.2.0; ; 2023-10-15 18:01:23 UTC; unix
