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.
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