Package: lazymatrix
Title: Perform Complex Matrix Operations Symbolically on Sparse
        Matrices
Version: 0.1.0
Authors@R: 
    person("Viktor", "Segersall", , "viktor.segersall@proton.me", role = c("aut", "cre", "cph"))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: bench, dplyr, ggplot2, knitr, rmarkdown, scales, testthat (>=
        3.0.0), tidyr
Config/testthat/edition: 3
Imports: Matrix, methods, stats, irlba, Rcpp
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
URL: https://vsegersall.github.io/lazymatrix/
NeedsCompilation: yes
Packaged: 2026-07-14 20:06:47 UTC; root
Author: Viktor Segersall [aut, cre, cph]
Maintainer: Viktor Segersall <viktor.segersall@proton.me>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-14 16:40:07 UTC
RemoteUrl: https://github.com/cran/lazymatrix
RemoteRef: HEAD
RemoteSha: ad873006fb612500e3fd1568ba60a71168f18d43