Changes in version 2.1.0 (2026-04-29)                  

New features

  - Added WZ2026.GLHTBF.2cNRT(), an F-type normal-reference test for
    heteroscedastic high-dimensional general linear hypothesis testing
    (GLHT) problems.
  - WZ2026.GLHTBF.2cNRT() supports the grouped-data GLHTBF interface
    WZ2026.GLHTBF.2cNRT(Y, G, n, p), where Y is a list of groupwise data
    matrices, G is the raw full-row-rank contrast matrix, n is the
    vector of group sample sizes, and p is the common data dimension.
  - The new GLHTBF F-type routine implements a trace-studentized
    quadratic contrast statistic with Welch--Satterthwaite two-cumulant
    F-type normal-reference calibration.
  - The returned NRtest object reports the test statistic, p-value,
    fitted numerator and denominator degrees of freedom, and the
    corresponding approximation method.
  - The new GLHTBF F-type routine can be used for both omnibus one-way
    MANOVA-type hypotheses and targeted rank-one contrast hypotheses
    through the same grouped-data interface.
  - Added CCXH2024.GLHTBF.2cNRT() for the rank-one scale-invariant
    GLHTBF normal-reference procedure of Cao et al. (2024).
  - Added LHNB2025.GLHTBF.NABT() for the rank-one random-integration
    GLHTBF normal-approximation procedure of Li et al. (2025).

Documentation and examples

  - Updated the GLHTBF documentation to clarify that the software
    argument G is the raw contrast matrix supplied by the user; the
    normalized contrast matrix and the induced contrast operator are
    constructed internally.
  - Added examples showing how to call WZ2026.GLHTBF.2cNRT() for omnibus
    and rank-one GLHTBF analyses using grouped data.
  - Updated the method inventory so that the newly added GLHTBF routines
    are listed under the correct problem class and calibration family.
  - Updated references to the proposed statistic TNEW so that its
    callable routine is consistently recorded as WZ2026.GLHTBF.2cNRT().
  - Expanded package references and documentation entries for the newly
    added GLHTBF procedures.

Improvements

  - Standardized input validation for the new GLHTBF routines, including
    checks on the groupwise data list Y, contrast matrix G, sample-size
    vector n, and common dimension p.
  - Improved consistency of returned approximation fields across GLHTBF
    normal-reference routines.
  - Kept the new F-type implementation inversion-free and compatible
    with HDLSS settings where the sample covariance matrices may be
    singular.
  - Updated exported functions, manual pages, examples, and package
    metadata for the new GLHTBF additions.
  - Improved consistency between the package description, method
    inventory, documentation, and simulation workflow.

Bug fixes

  - Fixed minor documentation inconsistencies in GLHTBF examples and
    method descriptions.
  - Fixed possible mismatches between newly exported GLHTBF function
    names, examples, and test scripts.
  - Corrected minor typographical and formatting issues in package
    documentation.

                 Changes in version 2.0.1 (2024-10-22)                  

  - Renamed the function BS1996.TS.NART to BS1996.TS.NABT for
    consistency.
  - Fixed several typos in the documentation and function names.
  - Corrected several typographical errors in the documentation and
    function names to improve clarity and usability.
  - Replaced deprecated save-always with actions/cache@v3 in GitHub
    Actions workflow.
  - Enhanced GitHub Actions performance by implementing caching for R
    package dependencies, leading to faster build times and improved CI
    efficiency.

                 Changes in version 2.0.0 (2024-10-18)                  

  - The function name has been changed. The title, example, output
    format of the function have been changed, and some typos have also
    been corrected.

  - Added a helper function to 'HDNRA.cpp' file in order to improve
    computation speed; updated the code of all functions to facilitate
    faster computation.

  - Added an 'NRtest.object' to output an S3 class 'NRtest' for our
    package, and also constructed a corresponding print function to
    output the appropriate format.

  - Added a 'zzz.R' file to manage package startup messages and
    initialization.

                 Changes in version 1.0.0 (2024-02-27)                  

  - Initial CRAN submission.