The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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) <doi:10.1177/001316447903900302> and Kleinman (1973) <doi:10.1080/01621459.1973.10481332>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | descr, dplyr, rlang, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-09-05 |
| Author: | Siti Rafika Fiandasari [aut, cre], Margaretha Ari Anggorowati [aut], Bahrul Ilmi Nasution [aut] |
| Maintainer: | Siti Rafika Fiandasari <fikafianda at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | saebnocov results |
| Reference manual: | saebnocov.pdf |
| Vignettes: |
Best_Vignete_ever Best_Vignetee_ever |
| Package source: | saebnocov_0.1.0.tar.gz |
| Windows binaries: | r-devel: saebnocov_0.1.0.zip, r-release: saebnocov_0.1.0.zip, r-oldrel: saebnocov_0.1.0.zip |
| macOS binaries: | r-release (arm64): saebnocov_0.1.0.tgz, r-oldrel (arm64): saebnocov_0.1.0.tgz, r-release (x86_64): saebnocov_0.1.0.tgz, r-oldrel (x86_64): saebnocov_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=saebnocov to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.