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riemannianStats

0.2.0Package record

Riemannian Methods for Principal Component Analysis, Regression and Visualization

0packages depend
899downloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 4.5 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-07-18
Advisories

none known

Documentation

Downloads

899
CRAN downloads in the past year
Rank #13,457 · ~2/day · ~75/mo
riemannianStats
Daily download trend is not available in this view yet.
25530 days
85090 days
8991 year
Compare downloads with other packages →
Also on15 r2u9 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing riemannianStats adds 33 packages (19 with compiled code, 38 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, dbscan 3.8 MB.

Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.1 (2026)
Releases (2)
  • 0.2.0Latest
    2026-07-23 · current release · diff ↗ ·
    removed 1 export
    riem.plot.3d
    added 6 exports
    riem.lm, riem.original.scale, riem.pca, riem.plot3d, riem.similarities.dbscan, riem.similarities.isomap
  • 0.1.1
    2026-07-17
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-17
Total releases
2 / 1 yrs
License
BSD_3_clause + file LICENSE OSI
Download size
1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("riemannianStats")
Rodríguez Rojas, O., & Lobo Vásquez, J. (2026). riemannianStats: Riemannian Methods for Principal Component Analysis, Regression and Visualization (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.riemannianStats

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for riemannianStats version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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