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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "riemannianStats" in publications use:'
type: software
license: BSD-3-Clause
title: 'riemannianStats: Riemannian Statistics for Dimensionality Reduction and Visualization'
version: 0.1.1
abstract: Provides tools for applying statistical methods on Riemannian manifolds
  using local geometry derived from Uniform Manifold Approximation and Projection
  (UMAP). The package enables dimensionality reduction, visualization, and analysis
  of complex data through Riemannian versions of principal component analysis and
  related multivariate methods. Methods are based on McInnes et al. (2018) <https://doi.org/10.21105/joss.00861>.
authors:
- family-names: Rodríguez Rojas
  given-names: Oldemar
  email: oldemar.rodriguez@ucr.ac.cr
- family-names: Lobo Vásquez
  given-names: Jennifer
  email: jennifer.lobo@promidat.com
repository: https://cran.r-universe.dev
commit: 6d07b90afef39922bb11ad550958e9820dff087c
date-released: '2026-07-17'
contact:
- family-names: Rodríguez Rojas
  given-names: Oldemar
  email: oldemar.rodriguez@ucr.ac.cr