Package: riemannianStats
Type: Package
Title: Riemannian Methods for Principal Component Analysis, Regression
        and Visualization
Version: 0.2.0
Authors@R: c(
    person(
        given = "Oldemar",
        family = "Rodríguez Rojas",
        email = "oldemar.rodriguez@ucr.ac.cr",
        role = c("aut", "cre")
    ),
    person(
        given = "Jennifer",
        family = "Lobo Vásquez",
        email = "jennifer.lobo@promidat.com",
        role = c("aut")
    )
  )
Description: Provides tools for statistical analysis on Riemannian
        manifolds using local geometry derived from Uniform Manifold
        Approximation and Projection (UMAP), Isometric Mapping
        (Isomap), and Density-Based Spatial Clustering of Applications
        with Noise (DBSCAN). The package supports dimensionality
        reduction, visualization, Riemannian principal component
        analysis, and Riemannian linear regression for multivariate
        data analysis. Methods based on Uniform Manifold Approximation
        and Projection follow McInnes et al. (2018)
        <doi:10.21105/joss.00861>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: rlang, ggplot2, ggrepel, grid, uwot, vegan, dbscan
Suggests: scatterplot3d, plotly, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr, rmarkdown
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-22 08:07:36 UTC; root
Author: Oldemar Rodríguez Rojas [aut, cre], Jennifer Lobo Vásquez [aut]
Maintainer: Oldemar Rodríguez Rojas <oldemar.rodriguez@ucr.ac.cr>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-23 16:51:41 UTC
RemoteUrl: https://github.com/cran/riemannianStats
RemoteRef: HEAD
RemoteSha: 8a107f82641a3dc016f8b818e0a2f199f0a166ad