https://vsegersall.r-universe.devRecent package updates in vsegersallR-universehttps://github.com/vsegersall.pnghttps://vsegersall.r-universe.devWed, 15 Jul 2026 15:05:02 GMTviktor.segersall@proton.me (Viktor Segersall)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) <doi:10.1145/355984.355989> and partial singular value decomposition via the augmented implicitly restarted Lanczos bidiagonalization algorithm of Baglama and Reichel (2005) <doi:10.1137/04060593X>.https://github.com/r-universe/vsegersall/actions/runs/29427356318Wed, 15 Jul 2026 15:05:02 GMTlazymatrix0.1.0.9000successhttps://vsegersall.r-universe.devhttps://github.com/vsegersall/lazymatrixgetting-started.Rmdgetting-started.htmlGetting started with LazyMatrix2026-04-10 13:26:262026-04-10 13:26:26performance.Rmdperformance.htmlperformance2026-04-27 14:08:072026-06-25 13:31:07use-cases.Rmduse-cases.htmlUse Cases for LazyMatrix: Statistical Algorithms2026-04-10 13:26:262026-04-10 13:26:26