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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "RobPC" in publications use:'
type: software
license: GPL-2.0-only
title: 'RobPC: Robust Panel Clustering Algorithm'
version: '1.4'
doi: 10.32614/CRAN.package.RobPC
abstract: Performs both classical and robust panel clustering by applying Principal
  Component Analysis (PCA) for dimensionality reduction and clustering via standard
  K-Means or Trimmed K-Means. The method is designed to ensure stable and reliable
  clustering, even in the presence of outliers. Suitable for analyzing panel data
  in domains such as economic research, financial time-series, healthcare analytics,
  and social sciences. The package allows users to choose between classical K-Means
  for standard clustering and Trimmed K-Means for robust clustering, making it a flexible
  tool for various applications. For this package, we have benefited from the studies
  Rencher (2003), Wang and Lu (2021) <DOI:10.25236/AJBM.2021.031018>, Cuesta-Albertos
  et al. (1997) <https://www.jstor.org/stable/2242558?seq=1>.
authors:
- family-names: Bulut
  given-names: Hasan
  email: hasan.bulut@omu.edu.tr
repository: https://hsnbulut.r-universe.dev
commit: 402f9e49a3e8782f480fe64308c8430240313eab
date-released: '2025-02-14'
contact:
- family-names: Bulut
  given-names: Hasan
  email: hasan.bulut@omu.edu.tr