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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "KlerRSS" in publications use:'
type: software
license: GPL-3.0-only
title: 'KlerRSS: Intelligent Ranked Set Sampling with ''Excel'' Integration and SRS
  Comparison'
version: 0.2.4
abstract: 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) <https://doi.org/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:
- family-names: Rather
  given-names: Khalid Ul Islam
  email: drkhalidulislam@gmail.com
repository: https://cran.r-universe.dev
commit: e439d5898203de9b25f8c504bc91c66aec997e59
date-released: '2026-07-09'
contact:
- family-names: Rather
  given-names: Khalid Ul Islam
  email: drkhalidulislam@gmail.com