Package: ggpca
Title: Publication-Ready PCA, t-SNE, and UMAP Plots
Version: 0.1.3
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)
        <doi:10.1007/978-3-319-24277-4>.
License: GPL-3
Imports: config (>= 0.3.2), golem (>= 0.4.1), shiny (>= 1.8.1.1),
        rlang, Rtsne, cowplot, dplyr, ggplot2, umap
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, tibble, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libpng-dev libuv1-dev libssl-dev python3
        zlib1g-dev
Repository: https://yaoxiangli.r-universe.dev
Date/Publication: 2026-05-05 07:33:43 UTC
RemoteUrl: https://github.com/yaoxiangli/ggpca
RemoteRef: HEAD
RemoteSha: ed8b7419a92c5d8cde43ca2fedaabe44d966520f
NeedsCompilation: no
Packaged: 2026-07-04 05:25:45 UTC; root
Author: Yaoxiang Li [cre, aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>