Statistical Significance Testing for Principal Components R package sigPCA version 0.1.0 Identifies principal components whose eigenvalues exceed those expected under noise. Implements analytical thresholds derived from the Marchenko-Pastur distribution (Marchenko and Pastur, 1967) <doi:10.1070/SM1967v001n04ABEH001994> and empirical permutation tests, and provides functions for visualizing observed and null eigenvalue spectra. Software Imports: ggplot2, stats Suggests: knitr, palmerpenguins, rmarkdown, testthat (>= 3.0.0) Guillermo de Anda-Jáuregui <gdeanda@inmegen.edu.mx> Comprehensive R Archive Network (CRAN) Guillermo de Anda-Jáuregui [aut, cre, cph], Enrique Hernández-Lemus [aut, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=sigPCA/LICENSE) 2026-08-03 application/tgz https://CRAN.R-project.org/package=sigPCA doi:10.32614/CRAN.package.sigPCA