Package: KlerRSS 0.2.4

Khalid Ul Islam Rather

KlerRSS: Intelligent Ranked Set Sampling with 'Excel' Integration and SRS Comparison

Provides tools for Ranked Set Sampling (RSS) analysis, data import, statistical estimation, and comparison with Simple Random Sampling (SRS). The package offers a complete workflow from 'Excel' and CSV data import and cleaning to RSS implementation, efficiency evaluation, visualization, and automated reporting. Intelligent ranking procedures based on correlation analysis, regression models, and machine learning methods are included to address imperfect ranking commonly encountered in practical RSS applications. Monte Carlo simulation tools are provided for evaluating estimator performance under different sampling scenarios. Ranked Set Sampling was originally introduced by McIntyre (1952) <doi:10.2307/3001960> as an efficient alternative to simple random sampling when ranking information is available at low cost. The package supports researchers, statisticians, and practitioners working in agricultural, environmental, biological, and other applied sciences.

Authors:Khalid Ul Islam Rather [aut, cre]

KlerRSS_0.2.4.tar.gz
KlerRSS_0.2.4.zip(r-4.7-any)KlerRSS_0.2.4.zip(r-4.6-any)
KlerRSS_0.2.4.tar.gz(r-4.7-any)KlerRSS_0.2.4.tar.gz(r-4.6-any)
KlerRSS_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
KlerRSS/json (API)

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

On CRAN:

Conda:

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

1.00 score 203 downloads 10 exports 29 dependencies

Last updated from:e439d58982. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK112
source / vignettesOK361
linux-releaseOK114
windows-develOK61
windows-releaseOK63
wasm-releaseOK111

Exports:kler_analyzekler_comparekler_importkler_ml_rankkler_plot_distributionkler_plot_efficiencykler_reportkler_rsskler_simulationkler_true_rss

Dependencies:cellrangerclicpp11crayonfarverggplot2gluegtablehmsisobandlabelinglifecyclemagrittrpillarpkgconfigprettyunitsprogressR6RColorBrewerreadxlrematchrlangS7scalestibbleutf8vctrsviridisLitewithr