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)
Repository: https://wicaksh.r-universe.dev
Date/Publication: 2021-06-04 00:23:26 UTC
RemoteUrl: https://github.com/wicaksh/saekernel
RemoteRef: HEAD
RemoteSha: 683e46590ee6774d9f3286c08bc9ab27787fc7d9
NeedsCompilation: no
Packaged: 2026-10-07 10:26:46 UTC; root