Changes in version 0.9.1 (2026-03-25)                  

  - Added irlba to benchmarks.

                 Changes in version 0.9.0 (2025-10-20)                  

  - Added vignettes, readme.

  - Initial CRAN submission.

                        Changes in version 0.5.0                        

  - Renamed the R implementation of scalable PCA to pca_spca_R() and
    added a C++-backed pca_spca() along with pca_spca_stream_bigmatrix()
    for bigmemory::big.matrix workflows, retaining the block power
    iteration algorithm of Elgamal et al. (2015).

  - Added pca_spca() implementing the scalable PCA algorithm of Elgamal
    et al. (2015) with streaming block power iterations for large
    matrices.

                        Changes in version 0.1.0                        

  - Added an iteratively reweighted singular value decomposition backend
    for pca_robust() that exposes the final row weights and iteration
    count.

  - Implemented a compiled svd_robust() helper with an svd_robust_R()
    reference implementation.