https://eliezyer.r-universe.devRecent package updates in eliezyerR-universehttps://github.com/eliezyer.pnghttps://eliezyer.r-universe.devWed, 01 Apr 2026 09:40:14 GMTeliezyer.deoliveira@gmail.com (Eliezyer de Oliveira)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>.https://github.com/r-universe/eliezyer/actions/runs/26751352671Wed, 01 Apr 2026 09:40:14 GMTgcpca0.0.1successhttps://eliezyer.r-universe.devhttps://github.com/cran/gcpca