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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.
| Version: | 0.1.0 |
| Imports: | ggplot2, stats |
| Suggests: | knitr, palmerpenguins, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-08-03 |
| DOI: | 10.32614/CRAN.package.sigPCA |
| Author: | Guillermo de Anda-Jáuregui [aut, cre, cph], Enrique Hernández-Lemus [aut, cph] |
| Maintainer: | Guillermo de Anda-Jáuregui <gdeanda at inmegen.edu.mx> |
| BugReports: | https://github.com/guillermodeandajauregui/sigPCA/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/guillermodeandajauregui/sigPCA |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | sigPCA results |
| Package source: | sigPCA_0.1.0.tar.gz |
| Windows binaries: | r-devel: sigPCA_0.1.0.zip, r-release: sigPCA_0.1.0.zip, r-oldrel: sigPCA_0.1.0.zip |
| macOS binaries: | r-release (arm64): sigPCA_0.1.0.tgz, r-oldrel (arm64): sigPCA_0.1.0.tgz, r-release (x86_64): sigPCA_0.1.0.tgz, r-oldrel (x86_64): sigPCA_0.1.0.tgz |
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