Changes in version 2.0.3                        

  - Minor for wrong p-value CDF indices after selection. For the way
    they are used, this was inconsequential, but may have caused
    problems in the future.

                 Changes in version 2.0.2 (2024-11-11)                  

  - If input p-values vector includes names, they are now included in
    the summary table generated by summary.FDX(). For this to work with
    DiscreteTestResults class objects from package DiscreteTests,
    version 0.2.1 of that package is required.

                 Changes in version 2.0.1 (2024-10-26)                  

  - Fix: kernel functions were not properly moved to internal namespace.
  - Minor documentation corrections.
  - Fixed bugs for discrete Lehmann-Romano procedure that could lead to
    incorrect results or to infinite loops.
  - Changed maintainer e-mail address.

                 Changes in version 2.0.0 (2024-10-15)                  

  - New features:
      - discrete.GR(), discrete.LR(), discrete.PB() and their respective
        wrappers DGR(), DLR(), DPB(), NDGR() , NDLR() and NDPB() are now
        generic functions. The previously existing functionality is
        implemented in *.default methods.
      - These generic functions got *.DiscreteTestResults methods for
        processing DiscreteTestResults R6 class objects from package
        DiscreteTests directly, so they can be used within pipes. They
        also offer some performance gains because some time-consuming
        checks for consistency are no longer necessary.
      - For consistency of new generics and methods, the first parameter
        raw.pvalues needed to be renamed to test.results.
      - New parameter threshold for discrete.*(), continuous.*(),
        weighted.* and their respective wrapper functions. This enables
        selection of p-values which are smaller than or equal to a
        certain value. Note: observed p-values and their supports are
        then re-scaled, as the p-value distributions are now becoming
        conditional distributions. If no selection is performed (i.e.
        threshold = 1), print(), summary() and plot() outputs are as
        before. Otherwise, they now respect the re-scaled conditional
        distributions. Additionally, the FDX S3 class output objects of
        these functions now include a list Select with values and
        information regarding selection.
      - New parameter pCDFlist.indices for discrete.*() and their
        wrappers, which must have the same length as pCDFlist and may
        help increasing performance considerably. As pCDFlist may now
        include only unique supports, pCDFlist.indices must indicate the
        indices of the p-values which belong to a given support set. If
        pCDFlist has the same length as test.results, it can be omitted
        (by setting it to NULL, the default). If users prefer using
        DiscreteTestResults objects, they do not have to take care of
        this, as unique supports and indices are automatically extracted
        from these objects.
  - New functions direct.discrete.GR(), direct.discrete.LR() and
    direct.discrete.PB() as more flexible replacements for
    fast.discrete.GR(), fast.discrete.LR() and fast.discrete.PB(). The
    latter have been marked as deprecated and will be removed in the
    future.
  - Step function evaluation in C++ code has been replaced by closely
    optimized inline functions which offer performance gains of 10-50%.

                 Changes in version 1.0.6 (2022-10-18)                  

  - The "fix" of 1.0.5 could cause even more trouble and has been
    corrected.

                 Changes in version 1.0.5 (2022-10-16)                  

  - Fixed a severe bug that produced completely wrong critical constants
    of the continuous Guo-Romano and Lehmann-Romano procedures.

                 Changes in version 1.0.4 (2022-01-19)                  

  - Minor modification to kernel_DGR_fast C++ function to return
    approximated binomial probabilities, too.
  - Added GitHub.

                 Changes in version 1.0.3 (2020-11-25)                  

  - Necessary updates due to changed signatures of imported functions of
    package PoissonBinomial.

                 Changes in version 1.0.2 (2020-09-02)                  

  - Minor improvements to internal functions to achieve better accuracy
    for upper tail Poisson binomial probabilities.

                 Changes in version 1.0.1 (2020-03-20)                  

  - Fixed a bug that prevented compilation on Solaris and clang
    configurations.

                 Changes in version 1.0.0 (2020-03-19)                  

  - Initial release.
  - Added a NEWS.md file to track changes to the package.