sae.prop
type: Item
instance of: R package
software version identifier: 0.1.1
software version identifier: 0.1.0
software version identifier: 0.1.2
maintained by: M. Rijalus Sholihin
CRAN project: sae.prop
programmed in: R
last update: 2023-10-15T00:00:00Z
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>.
author: M. Rijalus Sholihin
author: Cucu Sumarni
copyright license: GNU General Public License, version 3.0
imports: stats
imports: utils
imports: magic
imports: MASS
imports: corpcor
imports: progress
imports: fpc
cites work: Small area estimation of proportions under area-level compositional mixed models
cites work: Cluster Information of Non-Sampled Area In Small Area Estimation
cites work: Mean Square Error of Non-Sampled Area in Small Area Estimation
MaRDI profile type: Software
description: Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation