Package: gcpca
Type: Package
Title: Generalized Contrastive Principal Component Analysis
Version: 0.0.1
Authors@R: 
    person("Eliezyer", "de Oliveira", email="eliezyer.deoliveira@gmail.com", role = c("aut", "cre"))
Description: Implements dense and sparse generalized contrastive principal component analysis
    (gcPCA) with S3 fit objects and methods for prediction, summaries, and
    plotting. The gcPCA is a hyperparameter-free method for comparing high-dimensional
    datasets collected under different experimental conditions to reveal
    low-dimensional patterns enriched in one condition compared to the other.
    Method details are described in de Oliveira, Garg, Hjerling-Leffler,
    Batista-Brito, and Sjulson (2025) <doi:10.1371/journal.pcbi.1012747>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://github.com/SjulsonLab/generalized_contrastive_PCA
BugReports: https://github.com/SjulsonLab/generalized_contrastive_PCA/issues
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-28 01:20:40 UTC; fermi
Author: Eliezyer de Oliveira [aut, cre]
Maintainer: Eliezyer de Oliveira <eliezyer.deoliveira@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:30:08 UTC
Built: R 4.6.0; ; 2026-04-25 11:11:20 UTC; unix
