Changelog

Source: NEWS.md

CMRSS 0.2.5

Performance

• Avoid large n x nperm permutation matrices by default:
  • CRE null generation (null_dist(), null_dist_multiple()) now streams permutations in chunks when Z.perm is not supplied (new chunk_size argument).
  • SRE null generation (com_null_dist_block(), com_null_dist_block_stratum()) now generates permutations in chunks when Z.perm is not supplied (new chunk_size argument).
• Speed up stratified runs with many blocks:
  • summary_block() now builds units.block via split() (reduces O(n·B) scanning to O(n)).
  • Block-randomized chunk generation uses fast paths for common small-block cases (e.g., mb == 1, mb == nb - 1) and an internal cache for small combn(nb, mb) patterns.
• Speed up comb.method = 2 null distribution:
  • com_null_dist_block_stratum() now computes per-block statistics with matrix operations instead of per-permutation nested loops.
• Reduce allocation/copying overhead in solver setup:
  • Solver constraint triplets are now assembled via list accumulation rather than repeated c() growth.
• Minor speed improvement in generalized CI code:
  • ci_lower_quantile_generalize() no longer grows results with repeated rbind() inside a loop.

Bug Fixes

• rank_score() consistently returns a numeric vector (avoids 1-column matrix output when scale = TRUE).

Testing

• Added unit tests for internal block-permutation chunk generation and for equivalence of the vectorized com_null_dist_block_stratum() implementation to a naive reference computation.