Package: sigPCA
Title: Statistical Significance Testing for Principal Components
Version: 0.1.0
Authors@R: c(
    person(
      given = "Guillermo",
      family = "de Anda-Jáuregui",
      email = "gdeanda@inmegen.edu.mx",
      role = c("aut", "cre", "cph")
    ),
    person(
      given = "Enrique",
      family = "Hernández-Lemus",
      role = c("aut", "cph")
    )
  )
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/guillermodeandajauregui/sigPCA
BugReports: https://github.com/guillermodeandajauregui/sigPCA/issues
Encoding: UTF-8
Imports: ggplot2, stats
Suggests: knitr, palmerpenguins, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/markdown: TRUE
Config/roxygen2/version: 8.0.0
Repository: https://guillermodeandajauregui.r-universe.dev
Date/Publication: 2026-07-23 19:11:34 UTC
RemoteUrl: https://github.com/guillermodeandajauregui/sigpca
RemoteRef: HEAD
RemoteSha: 5c84fbf6c8fb66b5d61ec0bdf041c0bf4de4f604
NeedsCompilation: no
Packaged: 2026-09-22 09:59:40 UTC; root
Author: Guillermo de Anda-Jáuregui [aut, cre, cph],
  Enrique Hernández-Lemus [aut, cph]
Maintainer: Guillermo de Anda-Jáuregui <gdeanda@inmegen.edu.mx>