Package: saekernel
Type: Package
Title: Small Area Estimation Non-Parametric Based Nadaraya-Watson
        Kernel
Version: 0.1.1
Author: Wicak Surya Hasani[aut, cre], 
        Azka Ubaidillah[aut]
Maintainer: Wicak Surya Hasani <221710052@stis.ac.id>
Description: Propose an area-level, non-parametric regression estimator based on Nadaraya-Watson kernel on small area mean. Adopt a two-stage estimation approach proposed by Prasad and Rao (1990). Mean Squared Error (MSE) estimators are not readily available, so resampling method that called bootstrap is applied. This package are based on the model proposed in Two stage non-parametric approach for small area estimation by Pushpal Mukhopadhyay and Tapabrata Maiti(2004) <http://www.asasrms.org/Proceedings/y2004/files/Jsm2004-000737.pdf>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
URL: https://github.com/wicaksh/saekernel
BugReports: https://github.com/wicaksh/saekernel/issues
Suggests: knitr, rmarkdown, covr
VignetteBuilder: knitr
Imports: stats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-06-03 17:25:03 UTC; User
Repository: CRAN
Date/Publication: 2021-06-04 07:40:02 UTC
Built: R 4.6.0; ; 2026-04-27 02:41:49 UTC; unix
