Changes in version 0.5.5 (2026-10-22)                  

  - Update the reference manual and package citation for Cho and Joseph
    (2026).
  - Clarify nearest-neighbor distance ties and plotting examples in the
    manual.

                     Changes in version 0.5.4.9001                      

  - Compute ridge ranking and BIC on a centered unit-variance response
    so that numerical guards do not change screening when response units
    change. Ridge path RSS diagnostics remain in the original response
    units; BIC diagnostics omit the common response-scale constant.
  - Compute paired comparison scales in response-variance units to avoid
    squaring extremely large or small raw risk differences; diagnostics
    retain their units.
  - Normalize precomputed games by their positive full-set value and use
    log-space ratio potentials, returning allocations in the supplied
    game units.
  - Apply the relative null tolerance only to interior subset values,
    preserve both endpoints, and remove positive-value snapping from
    projection. Setting zero_tolerance = 0 now retains every
    representable positive projected value.
  - Validate the null tolerance and reject unrepresentable normalized
    game ratios clearly. Zero-full games project to zero and return zero
    allocations.

                     Changes in version 0.5.4.9000                      

  - Reject exact projection edge counts beyond 32-bit index capacity
    before subset evaluation or projection allocation, without
    introducing a RAM budget.
  - Support a single predictor with the existing MASS ridge
    normalization and preserve screening under response-colliding or
    non-syntactic predictor names.
  - Correct singleton-cap and stopping descriptions, and document the
    existing empty-screen allocation sentinel.
  - Replace production forward all-row distance sweeps with
    subset-specific indexed search, fused with querywise local fits. No
    query-by-n distance or query-by-K neighbor array is materialized in
    the production risk path.
  - Add explicit neighbor_eps (zero exact; positive Euclidean distance
    approximation) and query_block_size controls. All queries and the
    entire neighbor pool remain in use by default, with the existing K
    rule.
  - Separate scalar risk caching from a selection cache retaining at
    most two query-contribution vectors; allocation no longer retains a
    vector for every subset.
  - Native exact equal-distance ties use original row indices. This can
    differ from historical FNN tie ordering on duplicate or quantized
    data. Continuous-data and tied-data accuracy are verified
    separately.
  - Vendor the unmodified BSD-2-Clause nanoflann 1.9.0 header and
    license.

                        Changes in version 0.5.3                        

  - Replaced the all-query quadratic forward-distance cache with shared
    blocks of at most 256 queries. All queries, candidate neighborhoods,
    and statistical calibration rules remain unchanged; the distance
    cache now uses at most 256 * n doubles rather than query_count * n
    doubles.
  - Preserved per-candidate querywise SSE addition order and
    boundary-tie flags across blocks, including multithreaded candidate
    evaluation.

                        Changes in version 0.5.2                        

  - Replaced the fixed ridge threshold with BIC selection along the
    ridge-ranked prefix path.
  - Added paired querywise calibration to forward gains and sequential
    backward deletion losses.
  - Preserved raw risk ordering when all forward candidate values lie
    below the zero-signal boundary; calibration still determines whether
    the leader enters.
  - Constructed the final proportional allocation from noise-adjusted
    subset risks before monotone projection.
  - Removed the obsolete alpha tuning argument.

                        Changes in version 0.4.0                        

  - Initial release of the PRIME screening and allocation workflow.
  - Added local-linear subset-value estimation, inclusive forward
    screening, dimension-adjusted backward reduction, and Data Twinning
    support.
  - Added structured print, summary, and plot methods for fitted and
    screening objects.