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RSSampling  

Ranked Set Sampling
View on CRAN: Click here


Download and install RSSampling package within the R console
Install from CRAN:
install.packages("RSSampling")

Install from Github:
library("remotes")
install_github("cran/RSSampling")

Install by package version:
library("remotes")
install_version("RSSampling", "1.0")



Attach the package and use:
library("RSSampling")
Maintained by
Busra Sevinc
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-19
Latest Update: 2018-03-19
Description:
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) . 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.
How to cite:
Busra Sevinc (2018). RSSampling: Ranked Set Sampling. R package version 1.0, https://cran.r-project.org/web/packages/RSSampling. Accessed 02 Feb. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that RSSampling depends, imports, suggests or enhances
Complete documentation for RSSampling
Functions, R codes and Examples using the RSSampling R package
Some associated functions:
Some associated R codes: Drss.R . Mrss.R . Rrss.R . conMrss.R . conRrss.R . conrss.R . meanRSS.R . mwwutestrss.R . obsnoMrss.R . rankedsets.R . regRSS.R . rss.R . sign1testrss.R . varRSS.R . wsrtestrss.R .  Full RSSampling package functions and examples
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