Package: RSSampling 1.0

Busra Sevinc

RSSampling: Ranked Set Sampling

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.

Authors:Busra Sevinc, Bekir Cetintav, Melek Esemen, Selma Gurler

RSSampling_1.0.tar.gz
RSSampling_1.0.tar.gz(r-4.5-noble)RSSampling_1.0.tar.gz(r-4.4-noble)
RSSampling_1.0.tgz(r-4.4-emscripten)RSSampling_1.0.tgz(r-4.3-emscripten)
RSSampling.pdf |RSSampling.html
RSSampling/json (API)

# Install 'RSSampling' in R:
install.packages('RSSampling', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.20 score 16 scripts 136 downloads 15 exports 1 dependencies

Last updated 7 years agofrom:ece67df25b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxOKNov 20 2024

Exports:con.Mrsscon.Rrsscon.rssDrssmeanRSSMrssmwwutestrssobsno.MrssrankedsetsregRSSRrssrsssign1testrssvarRSSwsrtestrss

Dependencies:LearnBayes