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cff-version: 1.2.0
message: 'To cite package "lazymatrix" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'lazymatrix: Perform Complex Matrix Operations Symbolically on Sparse Matrices'
version: 0.1.0.9000
doi: 10.32614/CRAN.package.lazymatrix
abstract: Provides a framework for lazy computation on large sparse matrices. Enables
  lazy evaluation of normalized data matrices, preserving sparsity throughout operations
  without materializing dense intermediate objects. Implements statistical algorithms
  including LSQR for sparse least squares as described in Paige and Saunders (1982)
  <https://doi.org/10.1145/355984.355989> and partial singular value decomposition
  via the augmented implicitly restarted Lanczos bidiagonalization algorithm of Baglama
  and Reichel (2005) <https://doi.org/10.1137/04060593X>.
authors:
- family-names: Segersall
  given-names: Viktor
  email: viktor.segersall@proton.me
repository: https://vsegersall.r-universe.dev
commit: 9da30515f0497ef5776ee0975bd4cd10c18d325e
url: https://vsegersall.github.io/lazymatrix/
date-released: '2026-07-15'
contact:
- family-names: Segersall
  given-names: Viktor
  email: viktor.segersall@proton.me