bgns 0.4.3

• Restore Windows builds by removing an unnecessary platform-specific R header.

• Emit each tidy self-correlation edge once across processing panels.

• Bound neighbor counts by available candidates and prevent integer overflow in top-k buffers.

• Preserve independent dimension names for rectangular correlation matrices.

• Require unique, non-missing column names for named edge outputs.

• Use bounded weighted deviations to improve numerical stability under extreme rescaling while preserving the documented estimator.

• Initialize optional SIMD dispatch safely when panel workers start concurrently.

• Validate the estimator against an independent R reference and remove the incompatible WGCNA equality assertion and unused suggested dependency.

• Expand regression coverage and align sparse help examples and runtime-control documentation.

bgns 0.4.2

• Prepared the source tree for CRAN review: corrected package metadata and the source-level CITATION evaluation.
• Updated sparse Matrix coercion to avoid the deprecated direct triplet-to-dgCMatrix route.
• Undefined self-correlations for constant, all-missing, or ineligible columns now remain NA rather than being forced to 1.
• Positive-integer arguments now reject non-integral values instead of silently truncating them.
• Applied min_overlap consistently to fully finite dense fast paths as well as NA-aware paths.
• Fixed the NA-aware sparse self-KNN path, including overlap-specific denominators and stored non-finite values.
• Added internal engine helpers for controlled parallel loops, thread limits, runtime SIMD detection, blocked panel traversal, tiny top-k maintenance, sparse dgCMatrix summaries, and safe interrupt checks.
• Renamed the mixed dense/sparse native KNN entry point to C_bicor_knn_spdem.
• Kept the public API focused on bicor() and bicor_knn() while strengthening the native execution layer.
• Preserved exact bicor and exact KNN semantics while improving maintainability and long-running job interruptibility.

bgns 0.3.5

• Fixed dense bicor(x, y) matrix indexing for rectangular x/y inputs.
• Added native mixed dense/dgCMatrix support for bicor_knn(x, y).
• Made dense bipartite KNN factor-level handling match the sparse path.
• Linked BLAS portably through $(BLAS_LIBS) $(FLIBS) on Unix-like and Windows builds.
• Updated the optional WGCNA parity test to use pairwise-complete observations and a single WGCNA thread.

bgns 0.3.3

• Prepared package metadata, documentation, tests, and vignette for repository review.
• Added runnable examples for exported functions.
• Clarified signed-threshold semantics in bicor_knn().
• Clarified KNN edge direction and bipartite behavior.
• Honored pairwise.complete.obs in the native KNN interface.
• Removed generated vignette artifacts from the source tree.
• Removed hard-coded local macOS SDK paths from build flags.
• Set an explicit C++ standard and capped default OpenMP usage to at most two threads.