Package: RobPC Type: Package Date: 2025-02-14 Title: Robust Panel Clustering Algorithm Version: 1.4 Authors@R: person(given="Hasan",family="Bulut",email = "hasan.bulut@omu.edu.tr", role = c("aut", "cre")) Author: Hasan Bulut [aut, cre] Maintainer: Hasan Bulut Description: 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) , Cuesta-Albertos et al. (1997) . License: GPL-2 Depends: R (>= 4.0) Imports: stats, trimcluster Encoding: UTF-8 RoxygenNote: 7.3.2 NeedsCompilation: no Packaged: 2026-10-03 07:09:01 UTC; root Repository: https://hsnbulut.r-universe.dev Date/Publication: 2025-02-20 17:30:06 UTC RemoteUrl: https://github.com/cran/RobPC RemoteRef: HEAD RemoteSha: 402f9e49a3e8782f480fe64308c8430240313eab