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 <hasan.bulut@omu.edu.tr>
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) <DOI:10.25236/AJBM.2021.031018>, Cuesta-Albertos et al. (1997) <https://www.jstor.org/stable/2242558?seq=1>.
License: GPL-2
Depends: R (>= 4.0)
Imports: stats, trimcluster
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-02-18 19:16:43 UTC; hsn
Repository: CRAN
Date/Publication: 2025-02-20 17:30:06 UTC
Built: R 4.6.0; ; 2026-04-25 17:57:02 UTC; unix
