Changes in version 0.4.2                        

Documentation

  - A vignette carries one task end to end on synthetic or bundled data,
    offline, and is built and run by R CMD check.
  - Runnable @examples added or corrected across 20 help pages. Each
    runs offline in seconds, writes nothing outside tempdir(), and is
    executed by R CMD check; anything needing a device, a download or an
    optional backend is fenced with the reason stated.
  - The README's quick start runs as written: it attaches the package,
    builds its own inputs, and uses only hard dependencies.

                        Changes in version 0.4.1                        

  - Made the foundation-cache symlink-rejection test portable: the test
    now skips when the build filesystem cannot create a symlink (e.g.
    the Windows r-universe binary builder), where file.symlink() fails
    silently so no unsafe condition exists to assert on. The security
    assertion itself is unchanged and still runs wherever symlinks work.

                        Changes in version 0.3.0                        

  - Adds governed R torch to TorchScript to Python PyTorch ONNX export
    with canonical hash-bound model cards and pre-landing checker/logit
    parity gates.
  - Adds persistent raw-payload ONNX import and CPU-only ONNX Runtime
    prediction with provider fallback disabled and exact Dataset
    contract validation.

                        Changes in version 0.2.0                        

  - Adds peDataset() for exact case-aware windowing, zero-based class
    targets, and train-only z-score or robust normalization.
  - Adds compact EEGNet, CNN1D, causal TCN, and LSTM modules through the
    optional R torch backend.
  - Adds CPU trainModel() workflows through luz with case-disjoint
    validation, caller RNG restoration, and mandatory canonical EEGNet
    max-norm projection.
  - Adds contract-checked predictModel() logits, probabilities, classes,
    and regression responses without changing batch-normalization
    buffers.

                        Changes in version 0.1.0                        

  - Adds exact PhysioExperiment input-axis and identity contracts.
  - Adds canonical catch22 features through the optional Rcatch22
    backend.
  - Adds fitted, reusable ROCKET and MiniRocket transforms through the
    optional aeon backend.
  - Adds peReducedFeatures() for case-by-feature design matrices with
    transform provenance.