Package: apca Type: Package Title: Advanced Principal Component Analysis Version: 1.0.0 Date: 2026-04-19 Authors@R: c( person(given = "Angga Dwi", family = "Mulyanto", role = c("aut", "cre"), email = "angga.dwi.m@gmail.com", comment = "Institut Teknologi Sepuluh Nopember, Universitas Islam Negeri Maulana Malik Ibrahim Malang"), person(given = "Bambang Widjanarko", family = "Otok", role = "aut", comment = "Institut Teknologi Sepuluh Nopember"), person(given = "Jerry Dwi Trijoyo", family = "Purnomo", role = "aut", comment = "Institut Teknologi Sepuluh Nopember") ) Description: Provides nine computational algorithms for dimensionality reduction via Principal Component Analysis (PCA), built using an object-oriented (S3) architecture. The package includes classical and modern methods: Singular Value Decomposition (SVD) based on Eckart and Young (1936) , Power Iteration based on Hotelling (1933) , QR Algorithm based on Francis (1961) , Jacobi Algorithm based on Jacobi (1846) , Arnoldi Iteration based on Arnoldi (1951) , 'NIPALS' based on Wold (1975) , Alternating Least Squares (ALS) based on Kolda and Bader (2009) , Probabilistic PCA (PPCA) with EM Algorithm based on Tipping and Bishop (1999) , and Generalized Hebbian Algorithm (GHA) based on Sanger (1989) . License: MIT + file LICENSE Encoding: UTF-8 Language: en-US RoxygenNote: 7.3.3 Imports: stats NeedsCompilation: no Packaged: 2026-07-03 11:03:27 UTC; root Author: Angga Dwi Mulyanto [aut, cre] (Institut Teknologi Sepuluh Nopember, Universitas Islam Negeri Maulana Malik Ibrahim Malang), Bambang Widjanarko Otok [aut] (Institut Teknologi Sepuluh Nopember), Jerry Dwi Trijoyo Purnomo [aut] (Institut Teknologi Sepuluh Nopember) Maintainer: Angga Dwi Mulyanto Repository: https://cran.r-universe.dev Date/Publication: 2026-04-28 20:44:52 UTC RemoteUrl: https://github.com/cran/apca RemoteRef: HEAD RemoteSha: f527c0464d2644c5a7d4b2619e6d6d9ab026bf05