Changes in version 0.1.0.9000                      

                 Changes in version 0.1.0 (2026-07-14)                  

Initial CRAN submission.

New Features

  - Introduced lazy evaluation framework for working with normalized
    sparse matrices
  - Represent large sparse matrices symbolically with the S4 object
    LazyMatrix
  - Fundamental matrix operations like matrix-vector multiplication and
    transpose matrix-vector multiplication supported for the LazyMatrix
    object
  - Added support for subsetting methods, mirroring matrix objects from
    base R and Matrix. The symbolic equivalent of column vectors is
    called LazyColumn
  - Implemented specific statistical algorithms, LSQR, truncated partial
    SVD, for showcasing how lazymatrix can be implemented
  - Optimized internal C++ loops for sparse matrix operations using
    RcppArmadillo.

Improvements

  - Optimized matrix multiplication for lazy objects to avoid
    materialization
  - Added vignette demonstrating typical workflow with large sparse
    datasets

Bug Fixes

  - No known bugs fixed in initial release

Documentation

  - Added comprehensive roxygen2 documentation for all exported
    functions
  - Included example code in each function's documentation
  - Wrote getting started vignette covering installation and basic usage

Internal Changes

  - Utilized Matrix package for underlying sparse matrix representation
  - Implemented partial SVD using irlba