Changes in version 1.0.4 (2026-03-02)                  

Changes

  - Updated citation, since the manuscript was published in Machine
    Learning: Zwanenburg, A. and Löck, S. (2026) Location and
    scale-invariant power transformations for transforming data to
    normality, Machine Learning, 115(3). Available at:
    https://doi.org/10.1007/s10994-026-06994-3.

                 Changes in version 1.0.3 (2026-01-15)                  

Changes

  - Fixed an error that occurred when assessing if a transformation
    should be rejected, but the empirical central normality test p-value
    could not be computed.

                 Changes in version 1.0.2 (2025-10-29)                  

Changes

  - ecn.test was renamed to ecn_test. It now additionally takes tau, n,
    and kappa as arguments (see function documentation).

  - cn.test was deprecated. Use ecn_test with kappa = 1.0 instead.

  - When checking if required packages are installed, power.transform
    now caches results. This prevents unnecessary look-up.

                 Changes in version 1.0.1 (2025-04-12)                  

Changes

  - The empirical central normality test is now dependent on the number
    of samples. The test can now be called using ecn.test. cn.test is a
    stricter central normality test whose test statistics are determined
    from strictly normal distributions, instead of normal distributions
    with up to 10% outliers.

  - The robust location- and shift-invariant transformations now use
    weights optimised for achieving central normality.

                 Changes in version 1.0.0 (2024-09-13)                  

This is the initial public release of the power.transform package.