Package: KlerRSS
Type: Package
Title: Intelligent Ranked Set Sampling with 'Excel' Integration and SRS
        Comparison
Version: 0.2.4
Authors@R: person("Khalid Ul Islam", "Rather", email = "drkhalidulislam@gmail.com", role = c("aut", "cre"))
Description: 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.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: ggplot2, readxl, rlang, stats, utils
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-09 14:23:04 UTC; root
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-09 08:54:29 UTC
RemoteUrl: https://github.com/cran/KlerRSS
RemoteRef: HEAD
RemoteSha: e439d5898203de9b25f8c504bc91c66aec997e59