                        Changes in version 2.3.6                        

  - Added the X/mu0/Sigma/n/p/nper interface for one-sample cellMCD
    calibration. The null mean is required. When Sigma is omitted, it is
    estimated from raw X using the bias-corrected cellMCD scatter; a
    supplied Sigma takes precedence.
  - Validate supplied dimensions against X and retain explicit n/p/Sigma
    mode. Return calibration dimensions, mean, covariance, moments and
    success/failure counts, with safeguards for finite-variance moment
    matching (q > 4).
  - Preserve the former nrep/seed/data interface and fixed-center
    plug-in behavior in the deprecated simRobCellT2_onesample_legacy()
    compatibility function. Use set.seed() for reproducibility with the
    new interface.
  - Updated examples, help and tests. The scaled-F reference remains an
    empirical approximation; the RobCellT2_onesample() statistic
    calculation is unchanged.

                        Changes in version 2.3.5                        

  - Added named data-based null calibration using the cellMCD plug-in
    scatter, fixed null mean, matching complete-case handling, and
    recorded fit settings; retained the explicit-covariance positional
    API.

  - Added Sigma-aware Monte Carlo calibration for the one-sample cellMCD
    test, with identity-model warnings, covariance validation, and
    explicit safeguards for finite-variance F moment matching.

                        Changes in version 2.3.4                        

  - Updated AWRcca() so that score-space observation weights enter a
    second shrinkage-regularized canonical correlation fit. The final
    estimator no longer falls back to unregularized classical CCA merely
    because p + q > n.
  - Replaced the Monte Carlo consistency correction with deterministic
    numerical integration.
  - Added canonical directions and estimator diagnostics to the returned
    object while retaining the existing cor, shrink_used, weights, u1,
    and v1 components for backward compatibility.
  - Expanded input validation and numerical safeguards.
