The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Ranked set sampling (RSS) is introduced as an advanced method for data collection which is substantial for the statistical and methodological analysis in scientific studies by McIntyre (1952) (reprinted in 2005) <doi:10.1198/000313005X54180>. This package introduces the first package that implements the RSS and its modified versions for sampling. With 'RSSampling', the researchers can sample with basic RSS and the modified versions, namely, Median RSS, Extreme RSS, Percentile RSS, Balanced groups RSS, Double RSS, L-RSS, Truncation-based RSS, Robust extreme RSS. The 'RSSampling' also allows imperfect ranking using an auxiliary variable (concomitant) which is widely used in the real life applications. Applicants can also use this package for parametric and nonparametric inference such as mean, median and variance estimation, regression analysis and some distribution-free tests where the the samples are obtained via basic RSS.
| Version: | 1.0 |
| Imports: | LearnBayes, stats |
| Published: | 2018-03-19 |
| DOI: | 10.32614/CRAN.package.RSSampling |
| Author: | Busra Sevinc, Bekir Cetintav, Melek Esemen, Selma Gurler |
| Maintainer: | Busra Sevinc <busra.sevincc at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | RSSampling results |
| Reference manual: | RSSampling.pdf |
| Package source: | RSSampling_1.0.tar.gz |
| Windows binaries: | r-devel: RSSampling_1.0.zip, r-release: RSSampling_1.0.zip, r-oldrel: RSSampling_1.0.zip |
| macOS binaries: | r-release (arm64): RSSampling_1.0.tgz, r-oldrel (arm64): RSSampling_1.0.tgz, r-release (x86_64): RSSampling_1.0.tgz, r-oldrel (x86_64): RSSampling_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=RSSampling 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.