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lazymatrix 0.1.0

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.