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Changelog

Source: NEWS.md

libqe 0.1.4

  • Added aggregate_row_connections, the fold + per-row-binarize + sum aggregation of apply_tensor_unit’s per-response-row counts into a unit vector — the step tma performs in R (as.unordered + colSums.ena.matrix(binary)), now shared in the C++ kernel. WASM and Python bindings added. apply_tensor_unit itself is unchanged, so the R tma pipeline (which already does this aggregation in R) is unaffected; no R wrapper is exported for the new function. Note: the JS (rena-wasm) and Python (pytma) consumers previously mis-aggregated the tensor path by reading the raw connection_counts — both now call aggregate_row_connections.

libqe 0.1.3

  • Added the cross-covariance decay (CCD) window-size kernel (ccd_window) shared across the R, WASM, and Python surfaces; ports rENA’s ena.ccd numeric core to C++.

libqe 0.1.2

Released: 2026-09-03

  • Added door temporal pooling kernels for lookback and EMA smoothing, including ETM-compatible missing-value handling.
  • Added trajectory kernels for R-compatible polynomial fitting, curve evaluation, derivatives, integrated distances, lagged distances, signed turn-lag analysis, and distance-distance correlation.
  • Added R bindings for the new door and trajectory surfaces.
  • Made orthogonal polynomial fitting portable to no-LAPACK WASM builds.
  • Added parity and regression coverage for door and trajectory behavior.