Package: ggpca Title: Publication-Ready PCA, t-SNE, and UMAP Plots Version: 0.1.4 Authors@R: person('Yaoxiang', 'Li', email = 'liyaoxiang@outlook.com', role = c('cre', 'aut')) Description: Provides tools for creating publication-ready dimensionality reduction plots, including Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP). This package helps visualize high-dimensional data with options for custom labels, density plots, and faceting, using the 'ggplot2' framework Wickham (2016) . License: GPL-3 URL: https://yaoxiangli.github.io/ggpca/, https://github.com/YaoxiangLi/ggpca BugReports: https://github.com/YaoxiangLi/ggpca/issues Imports: shiny (>= 1.8.1.1), rlang, cowplot, ggplot2 Encoding: UTF-8 Suggests: config (>= 0.3.2), dplyr, golem (>= 0.4.1), knitr, rmarkdown, Rtsne, testthat (>= 3.0.0), tibble, umap VignetteBuilder: knitr Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev Repository: https://yaoxiangli.r-universe.dev Date/Publication: 2026-07-25 00:10:25 UTC RemoteUrl: https://github.com/yaoxiangli/ggpca RemoteRef: HEAD RemoteSha: 22a2ce4e295da95e60f2440937160cf6c3e09ebc NeedsCompilation: no Packaged: 2026-07-25 01:14:35 UTC; root Author: Yaoxiang Li [cre, aut] Maintainer: Yaoxiang Li