Skip to contents

RmlxStats (development version)

  • mlxs_lm() and mlxs_glm() now reject rank-deficient model matrices with a clear error rather than returning unstable aliased coefficients.

RmlxStats 0.2.0

  • Added mlxs_prcomp(), a prcomp()-style PCA interface with exact and randomized truncated MLX-backed decomposition paths. Benchmarks show this greatly outperforms base R prcomp() and other specialised packages for fast PCA.
  • Reworked mlxs_glmnet(). It can now outperform glmnet::glmnet() for large problems (roughly n x p > 5,000,000).
  • Added mlxs_cv_glmnet() as a cross-validation wrapper for the MLX-backed elastic-net path fits, analogous to glmnet::cv.glmnet().
  • Export mlxs_lm_fit() so advanced users can call the MLX-backed QR solver directly.

RmlxStats 0.1.0

  • Initial version.