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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 "eigencore" in publications use:'
type: software
license: MIT
title: 'eigencore: Certified Partial Eigenvalue and Singular Value Computation'
version: 1.0.0
abstract: 'Computes the top-k singular triplets or eigenpairs of large sparse and
  structured matrices: the computation behind principal component analysis on big
  sparse data, spectral embeddings, and low-rank approximation. Every result carries
  a numerical certificate with residuals, a backward-error bound, orthogonality loss,
  and a pass/fail flag, and bounds that can only be estimated are reported as such
  rather than passed. Centered, scaled, and composed operators are solved through
  native ''C++'' kernels without forming dense matrices. Drop-in replacements for
  the ''RSpectra'' interface are included.'
authors:
- family-names: Buchsbaum
  given-names: Bradley
  email: brad.buchsbaum@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/bbuchsbaum/eigencore
commit: 9cc2662e60e5599cdaf218efbf3fe62da79998a2
url: https://bbuchsbaum.github.io/eigencore/
date-released: '2026-07-23'
contact:
- family-names: Buchsbaum
  given-names: Bradley
  email: brad.buchsbaum@gmail.com